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Location: Moldova Company Background Coherent Solutions is a global digital product engineering company founded in 1995 and headquartered in Minneapolis, Minnesota. With a presence in nine countries and a team of more than 1,700 engineers, the company provides custom software development and engineering services across web and mobile applications, cloud, DevOps, and data. Coherent Solutions works with clients worldwide to build and scale digital products while fostering a culture of collaboration, transparency, and continuous professional growth. Project Description You will work with senior engineers on internal classical machine learning initiatives. The role combines structured learning, practical delivery, and gradual ownership of increasingly complex tasks. Technologies Python, pandas, NumPy, scikit-learn, Jupyter SQL XGBoost, LightGBM MLflow FastAPI Git, Docker, pytest What You'll Do Prepare and validate structured datasets for machine learning tasks, including cleaning, transformation, encoding, scaling, and missing-value handling; Conduct exploratory data analysis to identify patterns, data quality issues, and opportunities for modeling; Build, test, and compare ML models for tasks such as regression, classification, clustering, dimensionality reduction, and anomaly detection; Develop and select features with guidance from senior engineers; Run experiments, tune model parameters, and evaluate results using appropriate validation approaches and metrics; Help maintain reproducible ML pipelines, notebooks, experiment tracking, and technical documentation; Write and maintain automated tests for data and model-related code; Support the delivery of models through REST APIs or batch-processing workflows; Document model assumptions, results, limitations, and technical decisions; Work closely with senior engineers, incorporate feedback, and gradually take ownership of more complex tasks; Job Requirements 1+ year of hands-on Python development experience, including experience with pandas, NumPy, scikit-learn, and Jupyter; A strong foundation in statistics, probability, and linear algebra, plus exploratory data analysis skills; An understanding of supervised and unsupervised learning, and practical experience with regression, classification, clustering, dimensionality reduction, and anomaly detection; Experience preparing structured datasets, including cleaning, transformation, encoding, scaling, and missing-value handling, plus practical feature engineering and feature-selection skills; An understanding of train/validation/test splits, cross-validation, data leakage, overfitting, and regularization; the ability to select appropriate evaluation metrics, compare models, and perform error analysis; Familiarity with hyperparameter tuning and reproducible ML pipelines; SQL skills for data extraction and analysis; The ability to expose models through REST APIs or batch-processing workflows; Familiarity with Git, automated testing, Docker, and basic model monitoring; The ability to explain model behavior, assumptions, limitations, and results; English at B2 level or higher; Nice To Have XGBoost, time-series analysis, recommendation systems, MLflow, model interpretability, cloud services, production ML monitoring, and GenAI, LLM, RAG, prompt-engineering, or agent-development experience; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Remote Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We write a lot, and it's read by millions of people around the world. Our content team is already strong, and now we want to make it stronger. You'll be the native voice of the brand: everything our users read will go through you. What you will work on - Reviewing and editing the team's copy across the blog, Help Center, changelog, Creator Hub, case studies, PR and news, newsletters, product updates, and UI text; - Fact-checking every piece before it ships: checking model and feature names against the product; - Keeping facts consistent across every surface, so the same number reads the same in the blog, Help Center, landing pages, and press releases; - Shaping content for AI answers: a direct answer up front, question-based headings, useful FAQs, and internal links; - Keeping the writing alive and human, with no traces of AI or template-speak; - Working on tone, rhythm and clarity, not just fixing grammar; - Writing your own pieces too, including editorial work like our Inside Higgsfield series; - Holding one consistent brand voice across everything we publish. Your must haves - English as your native language; - A strong background in editing and writing, with a portfolio to show for it; - An instinct for style, tone and rhythm. You feel when a sentence works and when it doesn't; - The ability to explain your edits and how they make the text stronger. "It sounds better" is a start, not an answer; - An owner mindset: you see what could be better, and you make it happen; - Comfort with startup pace. We move fast, ship weekly, and the writing has to keep up. Nice to have - Experience editing for a tech, SaaS or AI product; - Experience building or maintaining a style guide or brand voice; - Familiarity with the GenAI landscape and the tools creators actually use; The deal - Competitive salary in USD; - Fully remote position; - Access to Higgsfield products and the AI tools we use internally; - Full-time position with high ownership and growth potential.

Location: Santa Clara, CA Workplace: onsite About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    Role Overview You own a shift. Not a zone of it, not a function within it — the whole thing. Roughly 140 operators, 13 Cell Leads, and 3 Operations Supervisors collecting robot demonstration data, and you are the single person accountable for what that shift produces, how good it is, and whether everyone goes home safe. The shift you own runs whether or not the Production Manager is in the building. That's the job: your shift should be indistinguishable in output and quality from the one before it and the one after it. What You Will Do Own your shift's production plan end to end — accepted episodes, first-pass acceptance, utilization, and labor efficiency against target. Manage 2–3 Operations Supervisors; own their performance, their development, and the quality of the Cell Lead bench underneath them. Run shift start-up, mid-shift review, and a documented handoff — you receive the shift before yours and hand off cleanly to the shift after. Make the real-time calls: redeploying staff when a cell goes down, resequencing work when a task type stalls, flexing coverage when attendance comes in short. Own safety on your shift — daily walks, protocol enforcement, incident response, and the expectation that your supervisors use: their stop-work authority. Partner with Data Quality on your shift's acceptance rate; drive root cause into retraining and process rather than into a rework queue. Escalate equipment and rig issues to Lab Engineering and keep staffed-but-idle hours visible. Handle performance management and employee relations escalations from your supervisors, partnering with HR. Hold California meal, rest, and overtime compliance across every non-exempt employee on your shift. Report your shift's performance and variance daily, with the explanation and the fix, not just the number. What Good Looks Like Your shift hits plan without overtime surprises or last-minute heroics. Handoffs are clean enough that the next shift starts producing immediately. Your supervisors make decisions without calling you, and your Cell Leads are being prepared for supervision. Quality on your shift doesn't vary from the other shifts — consistency is the whole point of this layer. Problems reach the Production Manager as "here's what happened and here's what I did," not as an open question. Basic Qualifications 5+ years in production, manufacturing, warehouse, or lab operations, including 2+ years managing supervisors or team leads. Experience with full accountability for a shift or a production area of 75+ hourly employees. Track record owning daily output and quality targets, and explaining variance credibly. Experience with performance management, attendance, and employee relations for a non-exempt workforce. Working knowledge of California wage and hourly requirements for non-exempt employees. Available to own an assigned shift (day, swing, or night) onsite in Santa Clara. Preferred Qualifications Robotics, hardware, AI data collection, advanced manufacturing, or technical lab background. Experience in a quality-gated operation where output is inspected before it counts. Promoted from a supervisor role, or has promoted supervisors from their own team. Comfort pulling and interpreting your own shift data from dashboards or spreadsheets. Continuous improvement background — Lean Six Sigma, or equivalent practical experience. Bilingual (English/Spanish). Work Environment and Physical Requirements Onsite robotics lab and warehouse environment; the majority of your shift is spent on the floor. Assigned shift, with occasional cross-shift coverage during ramps, launches, and handoff issues. Must be able to stand and walk the floor for extended periods. Must be able to occasionally lift and/or move up to 25 lbs. Why This Role Matters Consistency across shifts is what turns a lab into an operation. This role is the reason the third shift produces like the first one, and the reason problems get solved on the floor instead of escalating. Benefits Included in the Offer: - Friendly Working Environment - IT Equipment - Social Activities - Global Mobility Policy - Employee Referral Program - Employee Assistant Program - Medical, Dental, and Vision Insurance - HSA & FSA - 401(k) retirement - Short & Long Term Disability Insurance - Accident, Critical Illness, Hospital Indemnity Insurance  - Telemedicine Benefit - Annual Leave - Paid Public Holidays - Maternity/Paternity Leave   Hourly Pay: $71-$81/hour.   Job Reference: #LI-JC1

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Tamil language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Marathi language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Ожидание от кандидата: Высшее техническое или математическое образование; От 3–4 лет коммерческого опыта в Data Science / ML.

Location: Germany Workplace: Hybrid WHY INTEGRATIONS ENGINEERING AT LANGFUSE Your work puts Langfuse into developers’ hands. Our SDKs are downloaded 26M+ times per month, and for many developers the first thing they touch is an integration — a few lines of code that connect their favorite framework to Langfuse. When that experience is seamless, they’re wow’ed. When it’s not, we might have lost them. You’ll own that critical first impression across 40+ framework integrations. You’ll live at the frontier of LLM application development. The AI framework ecosystem moves fast — new agent frameworks, orchestration libraries, and model providers emerge every week. You’ll be among the first to instrument them, giving you unmatched exposure to how cutting-edge AI applications are built. The developers you serve are some of the most ambitious software engineers in the world, and working closely with them will make you an expert on LLM engineering yourself. Everything you build is open source and immediately visible. All Langfuse integrations are MIT-licensed. When you ship a new integration or improve an existing one, thousands of developers benefit the same day — and they’ll tell you about it in GitHub issues, on Twitter, and in our community channels.   WHAT YOU’LL DO - Build and maintain framework integrations. Langfuse integrates with 40+ frameworks and model providers: OpenAI SDK, Vercel AI SDK, LangChain, LlamaIndex, Pydantic AI, OpenAI Agents, CrewAI, Amazon Bedrock AgentCore, LiveKit, and many more. You’ll own these integrations end-to-end — from initial implementation to ongoing maintenance as frameworks evolve. When a new framework gains traction, you’ll be among the first to instrument it. - Design new integration patterns for emerging frameworks. When a framework or a new agent orchestrator appears, you’ll evaluate it, design the right instrumentation approach (callback handler, decorator, OTEL auto-instrumentation, or a combination), build the integration, write the docs, and ship it. You’ll develop strong opinions on what makes a great integration experience. - Contribute to the core SDKs. While integrations are your primary focus, your work will surface needs in our Python and TypeScript SDKs. You’ll contribute improvements to the core SDK when your integration work demands it — whether that’s a new hook point, better context propagation, or performance optimizations. - Write documentation and integration guides. At Langfuse, docs are part of our core product. When you ship a new integration, the guide ships with it. You’ll own the integration docs, quickstart tutorials, cookbooks, and migration paths that help developers get started in minutes. - Be a voice in the developer community. You’ll engage with framework communities, respond to integration-related GitHub issues, write blog posts about new integrations, and be present in our Slack/Discord channels. You’ll build relationships with framework maintainers and represent Langfuse in the broader AI developer ecosystem. WHAT WE’RE LOOKING FOR - Passionate about the LLM ecosystem. You’ve built real applications with frameworks like LangChain, Pydantic AI, Vercel AI SDK, LlamaIndex, or similar — or you have a deep willingness to go deep and get your hands dirty with every major framework in the space. You’re excited about this ecosystem, not just familiar with it. - Strong in Python and/or TypeScript. You write clean, reliable code. You don’t need to be a systems-level performance expert, but you care about code quality and understand that integrations run inside other people’s production systems. - Product-minded engineer. You think about the developer who’s going to use your integration at 11pm trying to ship a feature. You obsess over the getting-started experience: how many lines of code does it take? Is the error message helpful? Does the docs example actually work? - Self-directed and motivated. You know how to develop conviction about what to build and how to ship it. You don’t wait for detailed specs — you investigate the framework, talk to users, and propose the right approach. - Excited about open source and developer community. You genuinely enjoy talking to developers about their integration challenges, writing clear documentation, and contributing to open source projects. - Thrives in a small, accountable team. Your output is visible and matters. You’re comfortable owning outcomes, not just tasks. CS or quantitative degree preferred, but not required. We care far more about what you’ve built and your hunger to learn. BONUS POINTS - Experience with OpenTelemetry internals or observability instrumentation - Contributions to popular open source projects, SDKs, or developer tools - Experience building developer tooling, CLIs, or client libraries - Former founder or early startup experience - Active presence in AI/ML developer communities (blog posts, talks, open source)   No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.   PROJECTS YOU COULD OWN - Build and ship a Langfuse integration for an emerging agent framework (e.g., OpenClaw, new OTEL-based instrumentation) - Design the integration pattern for a new category of AI tools (e.g., voice agents via LiveKit/Pipecat) - Create comprehensive quickstart cookbooks that get developers from zero to traced in under 5 minutes - Work with the OpenTelemetry community to improve GenAI semantic conventions - Maintain and upgrade our most popular integrations (OpenAI, LangChain, Vercel AI SDK) as those frameworks ship breaking changes   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Brussels, Belgium We currently have a vacancy for a Mendix Developer in English, to offer his/her services as an expert who will be remotely within EU . In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Translate user stories and business requirements into working Mendix applications (domain models, flows, pages, security roles); Build integrations with internal and external systems via APIs and database connectors, and implement single sign-on (SAML/OIDC); Develop reusable modules, widgets and components in line with GSC standards, and contribute to a shared component library; Apply secure-by-design practices, role-based access control and data protection requirements; Build accessible interfaces that meet WCAG 2.1 AA; Write unit and automated tests, take part in code reviews, and use the Mendix Quality Add-ons or equivalent to keep technical debt under control; Support deployment, release management and third-level maintenance of applications in production; Produce and maintain technical documentation. Requirements University degree in IT and 5 years of IT development experience, including at least 3 years hands-on with Mendix; Proven delivery of at least two Mendix applications into production, including integration with enterprise systems; Experience with Mendix 10 or later, on-premises or private cloud deployment; Working knowledge of Java and JavaScript for custom actions and widgets; Experience working in Scrum or similar agile frameworks; Mendix Advanced Developer certification would be required & Mendix Expert certification will be considered as an asset; Experience with Mendix AI capabilities (e.g. GenAI connectors, Maia) will be considered as an asset; Knowledge of French will be considered as an asset; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (158530/10/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Athens, Greece We currently have a vacancy for an AI Architect , to be involved in a very important international project offering rapid career evolution. The candidate will join a software development team that uses cutting-edge technology to implement challenging IT software projects for major international public organisations. The candidate will receive adequate training and support to develop their career expectations. What You'll Do: Own the end-to-end technical architecture of GenAI and LLM solutions across multiple enterprise engagements; Translate business and functional requirements into secure, scalable, production-ready AI architecture blueprints; Design advanced GenAI pipelines including RAG architectures, orchestration layers, evaluation frameworks, and model deployment strategies; Drive AI governance, observability, monitoring, and responsible AI practices, ensuring architectural integrity across complex client environments. Requirements Must-Have Qualifications: 3+ years of experience in AI/ML engineering or solution architecture, with a proven track record of enterprise-grade AI delivery from concept to production; Strong hands-on experience architecting GenAI solutions: prompt engineering strategies, RAG architectures, LLM evaluation frameworks, and production deployment patterns; Deep understanding of distributed systems, APIs, microservices, data architectures, and cloud-native design principles; Proven experience designing scalable AI solutions on AWS and/or Azure, including MLOps and CI/CD practices; Demonstrated ability to translate complex business requirements into clear technical blueprints and solution architectures; Fluent in spoken and written English. Nice-to-Have Qualifications: Experience in consulting, systems integration, or public-sector IT environments; Hands-on experience with AIOps practices, LLM monitoring frameworks, and AI governance models; Knowledge of frameworks such as LlamaIndex, LangGraph, and AI evaluation toolkits, and experience with multi-model strategies (open-source and commercial LLMs). Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( AIA/10/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Dhahran, Saudi Arabia; Dammam, Saudi Arabia; Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Al Jubail, Saudi Arabia We are looking for an experienced Associate Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), and Large Language Models (LLMs). The ideal candidate should have hands-on experience in AI model development, deployment, cloud infrastructure, distributed computing, and MLOps/LLMOps to support scalable, high-performance AI applications. Key Responsibilities Develop, train, test, evaluate, and deploy AI/ML models and Generative AI applications. Design, implement, and optimize LLM-based solutions, including inference mechanisms and performance tuning. Build and manage scalable AI infrastructure using GCP, OpenShift, Kubernetes, and Docker. Implement MLOps and LLMOps pipelines to automate model development, deployment, monitoring, and maintenance. Optimize LLM inference performance through distributed computing, inference benchmarking, and scaling strategies to meet SLAs/SLOs. Manage GPU-based workloads, distributed processing, and autoscaling for AI applications. Work with NVIDIA NIM, Hugging Face, and NVIDIA SuperPOD environments, including HPC, Slurm, and Kubernetes. Develop AI application architectures and manage end-to-end AI workflows. Implement monitoring, dashboards, and performance tracking for ML/LLM workloads and applications. Establish and maintain CI/CD pipelines using tools such as Argo CD, Git, and Jenkins. Collaborate with cross-functional teams, manage project activities, and ensure the delivery of scalable AI solutions. Requirements Bachelor's degree in Computer Science or a related field. More than 5 years of relevant professional experience in Data Science, AI, Machine Learning, or related fields. Strong programming skills in Python and SQL. Hands-on experience with cloud technologies such as GCP, OpenShift, Kubernetes, and Docker. Strong understanding of AI/ML model training, testing, evaluation, and deployment. Practical knowledge of MLOps, LLMOps, LLMs, and Generative AI. Understanding of LLM architecture, inference mechanics, and performance optimization. Experience in inference scaling, distributed computing, benchmarking, and GPU-based workloads. Familiarity with NVIDIA NIM, Hugging Face, and NVIDIA SuperPOD environments. Experience with monitoring, dashboards, AI application architecture, and end-to-end workflows. Knowledge of DevOps practices and CI/CD tools, including Argo CD, Git, and Jenkins. Excellent communication, professionalism, leadership, and project management skills. Preferred Skills Experience working with large-scale AI infrastructure and distributed AI workloads. Strong analytical and problem-solving abilities. Effective communication, teamwork, and stakeholder management skills. Ability to lead project activities and collaborate across technical teams.

Location: Remote - US Sr. Developer Relations Manager Backblaze — Remote, US Compensation: $172,000–$215,000 base + equity About Backblaze Backblaze is the object storage layer for AI and data-intensive workloads, fueling customer success with cloud storage purpose-built for scalable performance and economics. We make customers unstoppable by solving their toughest storage challenges. Today we manage nearly 6 billion gigabytes of data for 500K+ customers across 175+ countries with fast growth among Neoclouds, GenAI companies, and companies reliant on data–heavy workloads. Developers are at the center of our next chapter, and we're serious about earning their trust. About the Role Developer relations is evolving quickly. Coding agents, informed by reference architectures and machine-readable documentation, are increasingly making integration decisions on behalf of developers. And trust, transparency, and human interaction are more important than ever as open source ideals and corporate agendas are weirdly attacked, limited, or promoted by unexpected sources and trends. Backblaze B2 Cloud storage was launched as a result of developer demand and has been committed to the developer ecosystem since day one. Today, we are seeking a leader who can help us become more present and trusted than ever before in this space, both as the storage default for agent-led projects and as a leading source of support, inspiration, and enablement for developers who need storage for whatever they’re building. As Sr. Developer Relations Manager, you'll work across a strong set of existing assets — a mature docs team, an engineering team focused on AI ecosystem integrations, our Flamethrower Startup Program, a content org, and an outward-facing SE team — and coordinate their outputs into a coherent, credible developer presence that earns mindshare where it matters most. This is a program-defining role for someone who thinks in systems, works backwards from adoption goals, knows how to make a company technically credible with developers who haven't heard of it yet, and is comfortable both channeling and being the face of developer relationships at Backblaze. What You'll Own Developer Presence in the Agentic Stack The primary goal of this role is to ensure Backblaze B2 is the best storage layer for developers and for their agents. That means understanding how AI coders discover and evaluate infrastructure tools today: through MCP servers, coding agent contexts, reference architectures, SDKs, and machine-readable documentation. You'll work with the internal AI team to define what "agent-ready" means for Backblaze and drive execution against it across engineering, docs, and content. Cross-Functional Coordination This role starts as an individual contributor, but you'll have real influence over a strong set of resources: an engineering team building integrations into AI tooling (MLFlow, ComfyUI, Hugging Face, popular agent frameworks), a docs team that can be directed toward structured, agent-consumable formats, a content org that can amplify what you build, and an SE team that can extend your enablement work, among a number of others at the company. Your job is to coordinate these teams around a unified developer strategy, keep that strategy moving, and share its outputs with the broader world. Community and Ecosystem Developers trust other developers. You'll underscore Backblaze's credibility in the communities where AI builders live: GitHub, Discord, open source projects, developer events, and the growing ecosystem of AI infrastructure tooling. You'll elevate internal technical voices, use their expertise to build your own thought leadership in the space, and partner with ecosystem players, and show up in a way that is earned, not marketed. Critically, you should have a presence in this community before coming to the role. Developer Feedback Loop You'll maintain a tight feedback loop from the developer community back to product and engineering — surfacing adoption friction, unmet integration needs, and emerging patterns worth prioritizing. The Flamethrower Startup Program gives you direct access to early-stage builders who can serve as signal-rich canaries for what's working and what isn't. Metrics and Program Accountability You'll define what success looks like — developer signups, activation rates, B2 adoption in AI frameworks, community engagement, content reach — and own progress against it. We're building this program to drive real revenue, and you'll be expected to connect the dots between awareness and conversion. Success in this role opens the door to bringing on, or from elsewhere in the company, developer resources to grow the program. What We're Looking For Meaningful DevRel, developer marketing, or developer experience leadership at a cloud infrastructure, open source, or AI tooling company. You've built or significantly grown a developer program, not just contributed to one. Understand how agentic workflows are reshaping how developers discover and integrate infrastructure tools — and you have opinions about what that means for DevRel strategy. Technically credible. You can read a codebase, evaluate an SDK, write a working integration, and have a real conversation with an engineer about tradeoffs. You don't need to be a full-time SWE, but you need to have been one, or close to it. Worked, or started, without a large team. You know how to amplify yourself through cross-functional relationships, external partners, and community rather than headcount. Strong communicator — to developers externally and to leadership internally. You can write a crisp technical tutorial and a clear exec summary with equal ease. Existing presence in developer communities. A following, conference talks, open source contributions, a technical blog — some signal that developers pay attention when you show up. Strong plus: Direct experience with model training, data processing or generative media Familiarity with how coding agents (Claude Code, Cursor, Copilot, etc.) surface and recommend infrastructure tools Experience working with or building on top of open source frameworks in the AI/ML ecosystem (MLflow, DVC, Ray Data, WebDataset, and MosaicML Streaming) Prior experience running or contributing to a startup/developer program (accelerator, cohort model, or similar) What You'll Have to Work With You won't be starting from scratch. You'll work closely with: A mature, capable docs team that can be directed toward agent-consumable documentation formats and structured reference content A strong engineering team dedicated to integrating Backblaze into the AI tooling ecosystem — building connectors, working on external integrations, and driving internal product improvements for developer use cases Flamethrower , our startup program, which is already generating community energy and early-adopter signal among AI builders An outward-facing solutions engineering team that can extend your enablement work with hands-on technical support A content org that can help produce and amplify developer-facing assets Active strategic work from Rawkode Academy laying the DevRel foundation: audit, persona validation, content models, and engagement strategy Why This Matters Now Developers are making storage decisions earlier in the stack than ever before — often before they've spoken to a salesperson, often through a coding agent recommending a reference architecture. Backblaze has the right product, the right price point, and a growing engineering investment behind this motion. What we need is the person who can translate that into developer conviction at scale. The window to establish Backblaze as the default AI storage layer is open now. This role exists to make sure we don't miss it. Backblaze Perks Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro plus a generous workstation stipend Childcare bonus Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $172,000 - $215,000 plus 20% target annual bonus and RSUs. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer. Backblaze is proud to be an Equal Opportunity Employer. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. Preferred qualifications 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Fluent in Japanese and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Санкт-Петербург Мы ищем главного специалиста на направление развития процессов комплаенс. Вам предстоит присоединиться к команде экспертов, занимающихся улучшением клиентского опыта совместно с бизнес-командами, а также оптимизацией внутренних операционных процессов с учетом активного тиражирования GenAI технологий. Обязанности ### Задачи * анализ эффективности процессов комплаенс, выявление проблемных зон, формирование предложений по улучшению и оптимизации * анализ эффективности деятельности агентов в процессах комплаенс, улучшение качества их работы * взаимодействие с командами бизнеса в рамках кросс-функциональных задач в целях улучшения клиентского опыта по процессам комплаенс * формирование и внедрение стратегии развития рабочего места аналитика, в том числе с использованием GenAI технологий * разработка бизнес-требований по автоматизации процессов, постановка задач в бэклоги ИТ-команд и контроль реализации * реализация a/b тестирования, запуск и сопровождение пилотных проектов * разработка и актуализация схем процессов * контроль за целевыми метриками процессов Требования * высшее экономическое, техническое или юридическое образование * глубокое понимание операционных процессов банка * опыт участия или управления проектами (от формирования концепции до реализации проекта) * опыт проработки бизнес-требований, описания бизнес-процессов, написания и согласования функциональных/нефункциональных требований, требований к интеграции * навыки структурирования и визуализации информации, подготовки материалов для коммуникаций со стейкхолдерами * аналитическое мышление и умение систематизировать информацию, работать с большим объемом информации в режиме многозадачности * развитые коммуникативные навыки, опыт ведения переговоров * высокий уровень самостоятельности и самоорганизованност * уверенное владение ПК, знание MS Office (MS Excel: формулы, сводные таблицы) Будет плюсом: опыт в трансформации и редизайне процессов с фокусом на автоматизацию и агентизацию Условия ### Мы предлагаем * трудоустройство согласно ТК РФ * гарантированный доход плюс премиальное вознаграждение * льготные условия кредитования * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * ДМС с первого дня и льготное страхование для близких * подписка Прайм с возможностью совместного использования на трёх близких * корпоративная пенсионная программа * обучение за счет компании: онлайн курсы в Виртуальной школе Сбера, возможность получить новую квалификацию * курсы для будущих родителей, материальная поддержка молодых мам, детский отдых и подарки за счет компании * реферальная программа для сотрудников: можно пригласить в команду знакомых профессионалов и получить вознаграждение * место работы Санкт-Петербург Старо-Петергофский пр.д. 30

Задачи: — Участие в операционной деятельности команды: дейли-митинги, спринт-планирования, ретроспективы, проведение демо для заказчика; — Контроль соблюдения сроков и качества результатов по всем активным проектам; — Проектирование и внедрение LLM решений: NER/классификация/обогащение, semantic search и RAG пайплайны, подготовка датасетов, fine tuning, улучшение метрик; — Ведение проектной документации в соответствии с принятыми стандартами и регламентами компании. Требования: — Опыт DS/ML (3+ лет) и общий опыт в IT около 6 лет, с фокусом на end-to-end внедрения AI/ML решений; — Опыт оценки трудозатрат для комплексных AI-проектов; — Инструменты управления: Jira, Confluence или аналоги для трекинга задач, ведения документации и управления бэклогом; — Понимание полного жизненного цикла ML-проекта: сбор данных, разметка, обучение, валидация, деплой, мониторинг; — Понимание принципов работы LLM, GenAI, RAG и агентных систем — на уровне, достаточном для оценки рисков; — Понимание принципов MLOps: CI/CD для моделей, версионирование данных, автоматизация пайплайнов; — Высокий уровень владения языком Python и опыт разработки production решений и интеграций с корпоративными системами; — Практика работы с корпоративными базами данных (PostgreSQL, ClickHouse, Vertica или аналогичными) и построением витрин/ETL (Airflow, Kafka и т.п.). Условия: — работа в аккредитованной IT-компании (льготная ипотека и проч.); — оформление по ТК РФ и его полное соблюдение (оплачиваемые отпуска, больничные); — ДМС со стоматологией с первых недель работы (а не после испытательного срока).

разработка и откладка торговых стратегий: портфельное управление, арбитраж, маркет-мейкинг, аукционы, хэджирование на множестве инструментов от акций и бондов до REPO и опционо. разработка движка: внутренний и внешний мессенджинг, генераторы\оптимизаторы кода, конвейер Quaity Gates, система управления конфигурациями и потоками.

The role involves building production GenAI systems, RAG pipelines, recommendation/personalization models, and scalable ML infrastructure from development through deployment.

Location: Lisbon Workplace: Hybrid Role highlights: - Business Development Manager, Missions - Portugal - Location: Portugal - Department: Mission Sales - Reports to: VP Missions Sales Spain & Portugal, dotted line to CEO Portugal - Employment type: Permanent - Workplace model: Hybrid (Lisbon office) - Employment is subject to applicable security screening (incl. Portuguese national security clearance and SUPO, where required) WHY THIS ROLE MATTERS: As Business Development Manager, Missions – Portugal, you’ll help accelerate ICEYE’s sovereign satellite and ISR mission growth in Portugal. This is a hands-on commercial role for someone who enjoys turning strategy into action: engaging customers, following up opportunities, building pipeline, keeping Salesforce accurate, supporting bid activity, and helping ICEYE show up strongly in the regional defence, space, and dual-use government ecosystem. It is also a thinking role: you define the Portugal go-to-market strategy together with the ICEYE Portugal CEO, ground it in analysis, and execute it with discipline. We are looking for someone analytical and paranoid about disciplined sales execution: every opportunity qualified, every follow-up on time, every record accurate. You will work closely with the VP, Missions Sales Spain & Portugal as a trusted partner in day-to-day commercial execution, with dotted-line collaboration with the ICEYE Portugal CEO to ensure strong local alignment. By helping manage customer engagement, regional opportunities, events, and cross-functional collaboration, you will directly support ICEYE’s ambition to become the global provider of turnkey ISR infrastructure to allied nations. While Missions is your line of business, you represent ICEYE as a single company: you quickly identify opportunities outside Missions – satellite data, analytics solutions – follow up on them, and connect them to the right ICEYE teams. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Co-develop the Portugal go-to-market strategy together with the ICEYE Portugal CEO and VP Missions Sales, and translate it into campaign plans, target accounts, and a disciplined execution rhythm. - Develop and qualify commercial opportunities in Portugal, supporting the growth of ICEYE’s Missions pipeline. - Engage with government, defence, space, and industry dual-use stakeholders, end-users, including ministries of defence, space agencies, ESA-related stakeholders, primes, associations, and commercial partners. - Support the VP, Missions Sales Spain & Portugal with customer follow-up, meeting preparation, opportunity tracking, and regional account activity. - Maintain accurate and timely Campaign plans and Salesforce records, including pipeline updates, meeting notes, next steps, and opportunity status. Run a disciplined execution cadence: no stale opportunities, no missed follow-ups. - Quickly identify and follow up on opportunities outside the Missions line of business (e.g., satellite data and analytics solutions), and bring in the right ICEYE teams so nothing is dropped – ensuring customers always experience ICEYE as one company. - Work closely with Sales Engineering and other internal experts to support bids, proposals, customer presentations, and technical-commercial responses. - Help coordinate ICEYE’s Portugal commercial presence at regional events, sectorial associations, regional or local exhibitions, industry forums, and customer-facing activities. - Collaborate with Marketing, Data, Missions, and other teams to ensure joined-up customer engagement and strong regional positioning. - Share market intelligence, customer feedback, and competitor insights to support regional planning and prioritisation. WHAT WE’RE LOOKING FOR Must haves: - Experience in business development, sales, account management, or capture within defence, aerospace, space, ISR, NATO, or other high-technology environments. - Experience working with both government/public-sector customers and commercial or industry partners. - Familiarity with the defence and space ecosystem in Portugal, including relevant government bodies, agencies, primes, integrators, or industry associations. - Experience using Salesforce or other CRM systems to manage opportunities in a structured way, including lead qualification, stakeholder mapping, follow-up, pipeline tracking, and cross-functional coordination. - Analytical by default: you build the territory and account case with data, qualify rigorously, and are paranoid about disciplined sales execution. - Strong communication and stakeholder management skills, with the ability to work effectively across commercial, technical, marketing, and leadership teams. - Professional fluency in Portuguese and English. - Willingness to travel regularly across Portugal, Finland or other ICEYE locations. - Experience supporting bids, tenders, capture plans, gate reviews, or proposal development. Nice to haves: - Previous military, government, or defence-sector experience. - Exposure to earth observation, satellite systems, or defence intelligence solutions. - Existing network across ministries of defence, space agencies, ESA-related stakeholders, local primes, or defence and space associations. - Experience applying GenAI or AI-enabled tooling to business development, sales, market intelligence, CRM hygiene, proposal preparation, stakeholder mapping, or other commercial workflows. - Sales training in Miller Heiman, Korn Ferry, Shipley or similar. APPLICATION PROCESS - Recruiter Interview - Peer interview - CEO Portugal Interview - Hiring Manager Interview - VP Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Lead ML Engineer to own a new ML stream focused on fast delivery of applied machine learning solutions across different product and business domains. The stream will work with a broad range of ML challenges. Some initiatives may be relatively small and delivered within a few weeks, while others may prove their value and grow into larger dedicated projects. This role combines hands-on ML engineering with end-to-end technical delivery ownership. You will receive product problems and expected outcomes from Product or internal stakeholders, clarify the technical requirements and constraints, define the implementation approach, coordinate execution within the stream, and bring solutions to production readiness and launch. This is a highly hands-on role. The stream will not have a dedicated software engineer for every initiative, so we expect Data Scientists and ML Engineers to be comfortable working beyond experimentation and contributing directly to production code. The role is not tied to a single ML domain. We value strong ML fundamentals, engineering skills, pragmatism, and the ability to quickly understand new problem areas more than deep specialization in one particular class of models. Job Responsibilities Technical Delivery Ownership Turn product and business problems into concrete ML implementation plans. Clarify requirements, constraints, available data, integrations, and success criteria together with Product and relevant stakeholders. Define technical scope, milestones, dependencies, risks, and delivery estimates. Select appropriate ML approaches and determine the fastest reliable way to validate and implement them. Drive technical delivery through experimentation, implementation, integration, deployment, and launch readiness. Keep delivery on track, proactively identify blockers, and coordinate dependencies with other teams. Provide Product with clear technical options, trade-offs, estimates, risks, and experiment results required for product decisions. Support production rollout and iteration based on observed results. Hands-on ML & Engineering Design, train, evaluate, and deploy ML models across different domains and problem types. Write production-quality Python and contribute directly to implementation. Build APIs, batch jobs, data-processing pipelines, and ML services required to deliver solutions where appropriate. Work with classical ML, deep learning, and foundation-model-based approaches depending on the problem. Process and transform large production datasets using Python and SQL. Integrate models into existing production systems. Implement appropriate testing, monitoring, logging, and observability for delivered ML solutions. Work within the shared ML infrastructure, architecture, and engineering practices used across the company. Collaborate with Data Science, Backend, Data Engineering, and MLOps specialists when deeper domain expertise or infrastructure changes are required. Stream Execution Break initiatives down into concrete technical tasks and coordinate execution within the stream. Coordinate the work of Data Scientists and ML Engineers contributing to stream initiatives. Review technical approaches, experiments, and implementation. Keep the team focused on the agreed scope, priorities, and delivery timeline. Identify technical risks and dependencies early and drive them to resolution. Escalate architectural, infrastructure, or methodological questions when broader alignment is required. Help prepare successful initiatives for scaling or transition into longer-term ownership if they grow beyond the scope of the stream. Cross-functional Collaboration Work closely with Product throughout the delivery lifecycle. Independently gather the technical details and constraints required to execute on a product request. Communicate estimates, dependencies, technical trade-offs, and delivery status clearly. Work directly with Engineering and other internal teams to unblock implementation. Challenge technically unclear, contradictory, or infeasible requirements and propose practical alternatives. You’ll thrive here if you have 5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering. Strong hands-on Python programming and software engineering skills. Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production. Strong understanding of machine learning methods, statistics, experimentation, and model evaluation. Experience writing maintainable production code rather than working exclusively in notebooks. Experience building APIs, services, batch processing, or data pipelines. Strong SQL skills and experience working with large production datasets. Practical experience with Docker and production deployment environments. Ability to turn partially defined problems into concrete technical plans. Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline. Experience owning technical delivery involving several contributors and coordinating work across dependencies. Experience reviewing code and technical approaches. Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream. Strong communication skills and the ability to work directly with Product and technical stakeholders. Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production. Nice to Have Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives. Experience with Kubernetes and CI/CD. Experience with Kafka or other streaming platforms. Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling. Experience building real-time or high-load ML services. Experience with FastAPI or similar Python service frameworks. Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification. Experience with LLM inference, fine-tuning or other GenAI systems. Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.