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Location: Warsaw ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an AI Scientist, you will push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications. Your work will directly shape how AI integrates into daily life and enterprise operations. What will you do   • Research and develop novel methods to push the frontier of large language models • Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech) • Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale • Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact   What we're Looking for   • You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java) • You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes) • You have high engineering competence. This means being able to design complex software and make it usable in production • You are a self-starter, autonomous and a team player   Now, it would be ideal if   • You have hands-on experience with training large transformer models in a distributed fashion • You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment • You have a strong publication record in a relevant scientific domain   Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Задачи: — Принимать и обрабатывать технические запросы от мерчантов через тикет-систему, Telegram, email; — Разбирать инциденты с платежами: зависшие транзакции, расхождения в балансах, проблемы с вебхуками; — Помогать с онбордингом — вести мерчанта от тестовой среды до первой живой транзакции; — Объяснять технические нюансы нетехническим командам на стороне клиента; — Анализировать транзакции через блокчейн-эксплореры (Etherscan, Tronscan, BSCScan и др.); — Определять причину сбоя: сеть, gas fees, неверный адрес, проблема на стороне мерчанта или платформы; — Эскалировать сложные кейсы в разработку с чётким описанием проблемы и логами; — Отслеживать статус эскалаций и держать мерчанта в курсе. Требования: — 1–3 года в технической поддержке IT-продукта или платёжного сервиса; — Понимание блокчейн-механики: сети, адреса, комиссии, подтверждения, мемпул; — Знание основных блокчейнов: Ethereum, TRON, BNB Chain — минимум как уверенный пользователь; — Умение читать транзакцию в эксплорере и понять, что пошло не так; — Понимание разницы между USDT TRC-20 и USDT ERC-20 — и почему это критично; — Английский язык — уровень, достаточный для письменной переписки с мерчантами; — Плюсом будет опыт работы в крипто-процессинге, бирже или крипто-кошельке; — Базовое понимание webhooks, REST API, HTTP-статусов. Условия: — Полная удалёнка из любой точки мира; — Стабильный фиксированный оклад; — Выделенный бюджет на обучение и профильные конференции; — Маленькая команда — решения принимаются быстро, бюрократии нет; — Прямой доступ к разработке и реальным транзакционным кейсам с первого дня. Этапы интервью: 1. Собеседование с рекрутером 2. Собеседование с руководителем 3. Оффер!

Задачи: — Определять и владеть стратегией тестирования AI, включая фреймворки, инструменты, контроль качества и подходы к автоматизации для систем машинного обучения и традиционного ПО. — Руководить, наставлять и развивать команду лидов тестирования ПО, устанавливать четкие ожидания, повышать технический уровень и культуру качества. — Проектировать масштабируемые AI тестовые решения, такие как пайплайны валидации моделей, проверки качества данных, обнаружение смещения и дрейфа, а также бенчмаркинг производительности AI/ML моделей. Требования: — Проживание вне России и Беларуси. — Высшее или среднее специальное образование. — Минимум 3 года работы в англоязычной среде. — Сильный технический опыт в QA Java инженерии (7+ лет), руководство тестовой командой (5+ лет), управление проектами. — Опыт в архитектуре AI тестирования. — Понимание жизненного цикла разработки ПО и процессов QA. — Знание дизайна ПО и процессов интеграции. — Опыт работы с Playwright, Java, Karate и другими инструментами. — Знание методологий Agile/Scrum. — Способность управлять несколькими приоритетами в быстром темпе. Условия: — Удаленная работа. — Контракт b2b. — Полная занятость, 8 часов в день с 4 часами пересечения с основной командой (8:00-12:00 UTC-5). — Минимальный срок контракта 9 месяцев. — Отпуск без оплаты. — Зарплата $6700 - 7500 до вычета налогов.

Location: Cincinnati, United States Our client is a leading precision metal component manufacturer serving the automotive and industrial sectors. Operating multiple advanced manufacturing facilities across the United States, they specialize in high-volume production using advanced metal forming and stamping technologies. They supply critical components to tier-one automotive suppliers and industrial OEMs. The Role We are recruiting a Vice President of Manufacturing to lead manufacturing operations for a multi-facility U.S. operation. Reporting directly to the President, this role has responsibility for all manufacturing and quality departments at the primary facility and oversight of operations at additional locations. This is a high-impact position with significant visibility throughout the organization and the opportunity to shape operational strategy during a period of growth. Key Responsibilities Lead all manufacturing and quality departments, ensuring optimal performance across production facilities Manage comprehensive capital and operational budgets with focus on balancing growth investments with financial discipline Establish manufacturing goals, performance metrics, and quality expectations Oversee staff recruitment and ensure proper staffing levels across all functional areas Maintain direct customer relationships regarding production capabilities, delivery schedules, and quality standards Implement and monitor continuous improvement initiatives to reduce costs and enhance efficiency Drive adoption of industry quality management systems (IATF, ISO TS 16949, ISO 14001) Ensure compliance with OSHA, EPA, and safety regulations across all operations Lead cross-functional initiatives and participate in strategic planning with the executive team Monitor production performance data and identify improvement opportunities Requirements Bachelor's degree in Business, Engineering, or related field 15 years of manufacturing experience, with at least 10 years in management or supervisory roles Demonstrated experience leading manufacturing operations in automotive or precision metal processing industries Strong background with metal stamping, forming, or similar high-volume production processes Proficiency with lean manufacturing methodologies and continuous improvement frameworks (5S, Kaizen, etc.) Experience managing quality systems and regulatory compliance (IATF, TS 16949 preferred) Proven ability to lead and develop teams Strong communication skills and collaborative leadership approach Experience managing P&L and capital budgets Travel: Approximately 10% per month (primarily to other company facilities) Preferred Qualifications MBA or advanced degree in Business or Engineering Experience managing multi-facility operations Background with tool design or manufacturing process optimization Exposure to global manufacturing environments Experience navigating supply chain challenges in automotive manufacturing Benefits Base Salary: $200,000 - $235,000 Performance Bonus Comprehensive health insurance coverage 401(k) retirement plan Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit Recruiters and headhunters cincinnati: Executive Search, Recruitment, and Staffing Firm Ohio Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. Reasonable Accommodations: Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information: For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location. Compliance with Laws: Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment: Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. E-Verify Participation: Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable. Privacy and Pay Equity: California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available. Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws. State-Specific Information: Rhode Island: We do not request or require salary history from applicants. Connecticut: We provide wage range information upon request or before discussing compensation. New Jersey: We do not inquire about salary history unless voluntarily disclosed. Veteran Status: Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process. Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information: In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws: Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.

Location: Cairo, Egypt; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Tallinn, Estonia; India Muller's Solutions is seeking a highly skilled Integration/Infrastructure Specialist (MID Server, GCP, SSO) to join our team and support enterprise integration and infrastructure initiatives within the ServiceNow ecosystem. The ideal candidate will possess strong expertise in ServiceNow integrations, MID Server administration, Google Cloud Platform (GCP), and Single Sign-On (SSO) technologies to ensure secure, reliable, and scalable platform connectivity. Key Responsibilities: Design, implement, and maintain integrations between ServiceNow and external systems. Install, configure, upgrade, and troubleshoot ServiceNow MID Servers. Monitor and ensure the health, performance, and availability of MID Servers across environments. Design and support secure authentication and authorization mechanisms, including SSO implementations. Configure and maintain identity federation solutions using SAML 2.0, OAuth 2.0, OpenID Connect (OIDC), and LDAP/Active Directory. Develop and maintain integrations using REST, SOAP APIs, Integration Hub, and other middleware technologies. Collaborate with infrastructure, security, and application teams to ensure seamless connectivity and data exchange. Support ServiceNow Discovery, Orchestration, and Cloud integrations utilizing MID Servers. Manage and support integrations with Google Cloud Platform (GCP) services. Troubleshoot integration and infrastructure-related issues and perform root cause analysis. Ensure compliance with security, governance, and infrastructure standards. Create and maintain technical documentation, architecture diagrams, and operational procedures. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience in integration and infrastructure support within enterprise environments. Hands-on experience with ServiceNow MID Server installation, configuration, and administration. Strong knowledge of Google Cloud Platform (GCP) services and infrastructure. Experience implementing and supporting Single Sign-On (SSO) solutions using SAML, OAuth, and OIDC. Strong understanding of networking concepts, including DNS, firewalls, proxies, SSL/TLS, and load balancers. Experience developing and troubleshooting REST and SOAP API integrations. Experience with LDAP, Active Directory, and identity management solutions. Knowledge of scripting languages such as JavaScript, PowerShell, Python, or Shell scripting. Strong analytical, troubleshooting, and problem-solving skills. Preferred Qualifications: ServiceNow Certified System Administrator (CSA). Experience with ServiceNow Integration Hub and Discovery. Google Cloud certifications (e.g., Associate Cloud Engineer, Professional Cloud Architect) are a plus. Experience with cloud security and identity/access management concepts. Familiarity with DevOps and CI/CD practices. Experience working in Agile/Scrum environments. Key Skills: ServiceNow MID Server Google Cloud Platform (GCP) Single Sign-On (SSO) SAML 2.0, OAuth 2.0, OpenID Connect (OIDC) REST/SOAP APIs Integration Hub LDAP & Active Directory Networking & Security Troubleshooting & Root Cause Analysis ServiceNow Discovery & Orchestration

Location: Thuwal, Saudi Arabia Eram Talent is seeking an experienced and passionate Coral Husbandry Technician Supervisor to support the KAUST Coral Restoration Initiative (KCRI) , one of the world's largest coral reef conservation and restoration programs. Reporting to the Coral Husbandry Specialist , the role is responsible for supervising coral husbandry operations, co-culture systems, and fish husbandry activities to maximize coral production for reef restoration. The successful candidate will oversee daily nursery operations, ensure the highest standards of coral care and aquatic husbandry, supervise technical staff, and contribute to the successful implementation of advanced coral restoration techniques. The ideal candidate has extensive experience in coral husbandry, coral sexual and asexual reproduction, aquaculture, and marine conservation, with the ability to work in remote project environments. Key Responsibilities Supervise daily coral husbandry, co-culture, and fish husbandry operations to ensure optimal coral growth and production. Implement advanced coral restoration techniques, including coral sexual and asexual reproduction methodologies. Manage coral nursery operations while maintaining the highest standards of cleanliness, animal welfare, and operational efficiency. Monitor coral health, identify and diagnose coral diseases, and implement appropriate corrective actions. Supervise and support husbandry technicians to ensure compliance with established husbandry procedures and quality standards. Develop, maintain, and update Standard Operating Procedures (SOPs), operational records, and production documentation. Coordinate daily activities with the Coral Husbandry team, management, and multidisciplinary project stakeholders. Support the successful delivery of nursery operational readiness, commissioning, and ongoing coral production programs. Monitor and maintain aquatic life support systems, water quality, and environmental conditions. Participate in diving operations to support coral monitoring, maintenance, and restoration activities when required. Attend project meetings and provide operational updates and technical input. Ensure compliance with Health, Safety, and Environmental (HSE) policies and report incidents, hazards, and near misses promptly. Contribute to continuous improvement initiatives to enhance coral production, nursery operations, and restoration outcomes. Requirements Qualifications & Requirements Bachelor's degree or higher in Marine Biology, Marine Science, Aquaculture, Environmental Science, or a related discipline. Minimum of 3 years of hands-on experience in coral husbandry with a strong emphasis on coral sexual reproduction. Proven experience in coral propagation, co-culture husbandry, fish husbandry, and aquaculture operations. Strong understanding of aquatic life support systems, coral health management, and marine husbandry practices. Experience supervising technical teams in marine, aquarium, aquaculture, or coral restoration environments. Proficiency in Microsoft Office, Microsoft Teams, SharePoint, and digital documentation systems. Excellent communication, documentation, analytical, and problem-solving skills. Previous experience working in remote or project-based environments is highly desirable. Middle East experience and Arabic language skills are advantageous but not mandatory. Willingness to relocate to a remote project location and participate in diving activities as required.

Location: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK)  | 💰 £79,000 - £93,000 + Incentive Awards tied to your performance + Benefits 🌟 About the team: Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us! Our Credit Model Validation team is crucial in providing independent oversight and challenge to our model development teams in the first line of defence to help Monzo grow safely and ensure that the models we use deliver good outcomes for our customers. We’re looking for someone (maybe you?!) to join our validation squad and provide expert independent validation and oversight across our suite of credit models, covering critical business disciplines such as credit strategy and impairment. You’ll have a particular focus on models used for customer-level decisioning and defining our credit strategies - such as underwriting scorecards, origination PD models and Net Present Value (NPV) / unit economics models - across all our lending products. Strong data and analytical skills are a must, as is deep expertise in credit risk modelling. You’ll have hands-on experience in either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. 🔑 You’ll play a key role by… Leading hands-on independent validation of models used for credit decisioning within our Borrowing strategies - covering a range of machine learning, decision science and NPV models. You will be ensuring that models are fit for purpose, appropriately governed, explainable and performing as expected Supporting oversight and validation of broader credit risk models, including IFRS9, stress testing and economic response models Developing deep understanding of Monzo’s credit models, and using this to provide impactful input and challenge to model developers to improve our modelling capabilities Reviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is required Performing statistical analyses to independently assess model performance, including developing challenger models where appropriate to test model assumptions and strengthen validation conclusions Improving our Model Risk Framework, including overseeing our policies, standards and procedures to help embed best practice across the business. This means making sure we follow up-to-date regulatory guidelines, and adapt our processes to make sure they remain relevant as modelling techniques evolve Writing clear and impactful model validation reports, and presenting the findings and actions in relevant committees Partnering with colleagues in the first line of defence credit strategy and modelling teams - and wider risk teams across Monzo - to support the embedding of our model risk framework and establishing consistent validation standards across the organisation Embracing new and innovative technology, including leading the adoption of AI tools to enhance our model validation approach 🤩 We’d love to hear from you if… Have a strong background and practical experience in credit model development and/or validation - in particular with exposure to machine learning or statistical models used in credit decisioning, such as decision science scorecards, origination / underwriting PD models, and NPV / unit economics modelling Are data driven, with strong analytical skills and deep understanding of statistical techniques for credit and model risk. Being able to get hands on with data is critical - so strong SQL and Python skills are essential, and experience with data visualisation tools such as Tableau, Looker or similar is a plus! Understand how models are used in real-time decisioning and lending strategies, and how to balance commercial and risk outcomes Have strong written and verbal communication skills, and are able to articulate problems and solutions using clear and simple language. This is particularly important for breaking down complex issues and priorities to non-experts Have a track record of building and maintaining trusting relationships with stakeholders at all levels, and can provide effective and respectful challenge Are impact-driven, and proactive in identifying issues and opportunities to improve outcomes for both our customers and our business Are passionate about technology, and what we’re doing here at Monzo excites you! Our technology stack We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science and machine learning Go to write our application code AWS for most of our backend infrastructure The interview process: Our interview process usually involves up to four main stages via Google Hangouts: An initial call with our recruiter A call with our Senior Model Validation Manager, the hiring manager for the role A role-specific call with colleagues from our credit modelling teams. We’ll share a short case study in advance, but you won’t need to submit a written response; we’ll use it to guide the discussion during the interview. A behavioural interview 🙌 What’s in it for you 💰 £79,000 - £93,000 + Incentive Awards tied to your performance benefits. 📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . We’ll close this role once we have enough applications for the next stage, so please apply as soon as you can - we don’t want you to miss out! LinkedIn Tags: #LI-TK1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Argentina; India; Philippines; Nigeria APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title : Independent Contractor – AI & ML Developer (Remote). About 20four7VA 20four7VA is a global leader in providing virtual staffing solutions. We are expanding our technology team to integrate AI-driven automation into customer support and ticketing systems. We are seeking a skilled AI & ML Developer with expertise in NLP, chatbot development, and intelligent automation. Work Hours: 20 hrs/week (potential to go full-time) Schedule: 9:30 AM – 2:30 PM EST (Flexi, preferably weekdays) Key Responsibilities 1. Natural Language Processing (NLP) & AI Model Development Design and develop NLP models for chatbots, sentiment analysis, and document processing. Implement text classification, named entity recognition (NER), summarization, and translation. Fine-tune and deploy pre-trained LLMs (e.g., GPT-4, BERT, LLaMA, T5). 2. AI-Powered Chatbot Development Build and deploy intelligent chatbots for customer support and ticketing automation . Implement intent recognition, entity extraction, and context-aware dialogue flows. Integrate chatbots with WhatsApp, Slack, MS Teams, and WebChat. Enable multi-turn conversations and proactive AI-driven responses. 3. Ticketing System Optimization Develop AI models for ticket categorization, prioritization, and auto-routing. Implement AI-powered auto-response generation for FAQs. Apply reinforcement learning for optimizing resolution workflows. 4. Data Processing & Annotation Preprocess and clean ticketing logs, chat transcripts, and emails. Apply tokenization, lemmatization, and embeddings for improved NLP accuracy. Enhance supervised models through dataset labeling and annotation. 5. API & System Integration Build APIs for AI-driven chatbot and ticketing automation. Integrate with CRMs and ITSM tools (e.g., ServiceNow, Zendesk, Freshdesk). Create real-time NLP analytics dashboards for chatbot performance tracking. 6. AI Model Optimization & Evaluation Conduct A/B testing, hyperparameter tuning, and model benchmarking. Apply evaluation metrics (F1-score, BLEU, ROUGE, perplexity). Optimize for low-latency, real-time interactions. 7. Research & Continuous Improvement Stay updated with the latest in LLMs, generative AI, and conversational AI . Experiment with Gemini, Claude, Mistral , and other cutting-edge models. Contribute to innovation in AI-driven automated support systems. 8. Security, Compliance & Ethics Ensure compliance with GDPR, CCPA, HIPAA (where applicable). Implement bias detection, fairness, and ethical AI practices. Secure models against adversarial attacks and vulnerabilities. 9. Collaboration & Documentation Work with IT, customer support, and automation teams. Document architectures, workflows, and training pipelines. Conduct internal training sessions for teams on AI automation tools. Technologies & Tools Programming: Python, Django, Flask AI/ML: OpenAI API, Hugging Face Transformers, TensorFlow, PyTorch Frontend/Integration: React, REST APIs, Webhooks Databases: MySQL, MongoDB, PostgreSQL Platforms: NLP/Conversational AI platforms (Dialogflow, Rasa, LangChain, etc.) Preferred Experience AI-powered chat-based support systems . Automated ticketing workflows using ML. Hands-on experience with large-scale chatbot deployments . Exposure to enterprise-level CRM/ITSM integrations . Why Join Us? Opportunity to steer AI innovation in global support systems. Flexible schedule with potential to grow into full-time role . Collaborative remote-first culture with focus on automation, innovation, and impact .

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a hands-on Physical Security Systems Technician to support deployment, validation, and maintenance of physical security infrastructure across our sites throughout the United States. This role is based in New York,  and requires frequent travel to support installations, upgrades, testing, and operational activities at multiple locations nationwide. The ideal candidate combines strong physical security systems knowledge with practical IT infrastructure experience, including networking, Windows/Linux systems, storage platforms, and log analysis. They will ensure systems are properly deployed, validated, documented, and production-ready. Key Responsibilities Installation & Support Install, configure, and maintain CCTV systems (cameras, NVRs/DVRs, VMS) Support access control systems (badging, controllers, readers, permissions) Perform hardware replacements (cameras, readers, controllers, cabling components) Troubleshoot physical security system issues across network, hardware, operating system, and application layers Support Windows and Linux-based systems supporting physical security platforms Assist with storage systems used for video retention and evidence management Testing & Validation Execute system testing after installations and changes Develop and run Site Acceptance Testing (SAT) procedures for new deployments Validate system performance, coverage, failover scenarios, storage retention, and compliance with design requirements Identify, track, and help resolve issues found during testing Verify network connectivity, device health, and system integrations Documentation Produce and maintain accurate technical documentation (network diagrams, device inventories, configurations, system architecture) Create and maintain SAT reports, test cases, and validation checklists Document system changes, incidents, troubleshooting activities, and resolutions Ensure documentation is structured, standardized, and audit-ready Deployment & Operations Support system upgrades, migrations, and new site rollouts Work with vendors and integrators to ensure quality delivery Provide on-site and remote support across multiple locations throughout the United States Monitor and troubleshoot system logs to identify operational issues and root causes Ensure systems comply with internal standards and security requirements Required Qualifications 2+ years of hands-on experience with physical security systems (CCTV, access control) Experience installing and configuring cameras and access control hardware Experience with system testing, commissioning, SAT, or similar validation activities Ability to produce clear technical documentation and reports Solid IT infrastructure knowledge, including: Networking (TCP/IP, VLANs, routing basics, PoE, DNS, DHCP) Windows administration and troubleshooting Linux administration, services, logs, and basic troubleshooting Storage technologies and capacity management fundamentals Log analysis and troubleshooting using system and application logs Strong troubleshooting skills across hardware, software, operating systems, and networks Ability to work independently in remote locations with minimal supervision Valid driver’s license and ability to travel extensively throughout the United States Excellent communication and organizational skills Preferred Qualifications Experience with enterprise VMS platforms Familiarity with enterprise access control systems Experience in data center, critical infrastructure, or enterprise environments Knowledge of low-voltage cabling standards Exposure to structured testing methodologies (SAT, UAT, commissioning) Experience with monitoring, logging, and system health validation tools Familiarity with virtualization platforms and enterprise IT environments Key Traits Hands-on and execution-focused Detail-oriented and structured Strong sense of ownership for quality and completeness Clear and disciplined in documentation Strong analytical and troubleshooting mindset Comfortable working across multiple sites and environments Willing and able to travel extensively throughout the United States (up to 75%+ travel) Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $85,900 — $107,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Dammam, Saudi Arabia; Al Jubail, Saudi Arabia Eram Talent is seeking an experienced Scaffolding Supervisor to oversee the safe erection, modification, inspection, and dismantling of scaffolding systems across industrial and construction projects. Reporting to the Site Manager, the role is responsible for supervising scaffolding crews, ensuring compliance with safety regulations and project specifications, and maintaining high standards of quality and productivity. The successful candidate must hold a valid Saudi Aramco Scaffolding Supervisor Card and have proven experience working on Saudi Aramco projects. The ideal candidate is locally available in Saudi Arabia and possesses strong leadership and communication skills. Key Responsibilities Supervise scaffold erection, modification, inspection, and dismantling activities in accordance with project requirements. Ensure all scaffolding work complies with Saudi Aramco standards, company procedures, and HSE regulations. Coordinate daily activities of scaffolding crews to ensure safe and efficient work execution. Conduct routine inspections of scaffolding structures and ensure they are safe for use. Verify scaffold tags, permits, and inspection records are maintained accurately. Ensure proper use of scaffolding materials, tools, and equipment. Identify and mitigate potential safety hazards related to scaffolding operations. Coordinate with construction, maintenance, and HSE teams to support project schedules. Conduct toolbox talks and promote a strong safety culture among workers. Monitor workforce productivity and ensure work is completed within project timelines. Maintain accurate reports, inspection records, and daily progress documentation. Liaise with clients, site management, and inspectors regarding scaffolding activities and compliance. Requirements Qualifications & Requirements Diploma, Technical Certificate, or equivalent qualification. Proven experience as a Scaffolding Supervisor on industrial or construction projects. Valid Saudi Aramco Scaffolding Supervisor Card is mandatory. Strong knowledge of scaffolding standards, erection procedures, inspection, and safety practices. Familiarity with Saudi Aramco HSE requirements and permit-to-work systems. Excellent leadership, communication, and team management skills. Ability to read scaffolding drawings and project specifications. Candidates currently residing in Saudi Arabia will be preferred.

Location: Dammam, Saudi Arabia; Al Jubail, Saudi Arabia Eram Talent is seeking a skilled and experienced Diesel Mechanic to perform maintenance, troubleshooting, repair, and overhaul of diesel-powered vehicles, heavy equipment, and machinery. Reporting to the Maintenance Supervisor, the role is responsible for ensuring the reliability, safety, and operational efficiency of diesel engines and associated mechanical systems. The successful candidate will carry out preventive and corrective maintenance while adhering to company procedures, safety regulations, and client requirements. Candidates with prior Saudi Aramco project experience are required. The ideal candidate is locally available in Saudi Arabia and willing to work within the offered salary range. Key Responsibilities Diagnose, troubleshoot, and repair diesel engines, heavy equipment, and mechanical systems. Perform preventive and corrective maintenance on diesel-powered vehicles and machinery. Inspect, repair, and replace engine components, fuel systems, cooling systems, and transmission components. Carry out engine overhauls and mechanical repairs in accordance with manufacturer specifications. Read and interpret technical manuals, service manuals, and mechanical drawings. Conduct routine inspections to identify faults and ensure equipment reliability. Test repaired equipment to verify proper operation and performance. Maintain accurate maintenance records and service reports. Ensure compliance with Saudi Aramco safety standards, company procedures, and HSE regulations. Coordinate with supervisors and maintenance teams to minimize equipment downtime. Maintain tools, equipment, and work areas in a safe and organized condition. Support emergency breakdown maintenance when required. Requirements Qualifications & Requirements Diploma or ITI/Technical certification in Mechanical Engineering, Diesel Mechanics, Automotive Technology, or a related discipline. Proven experience as a Diesel Mechanic in industrial, construction, or heavy equipment environments. Saudi Aramco project experience is mandatory. Strong knowledge of diesel engines, hydraulics, transmissions, fuel systems, and preventive maintenance. Ability to diagnose and repair heavy equipment and diesel-powered machinery. Good troubleshooting and problem-solving skills. Familiarity with HSE procedures and safe maintenance practices. Locally available in Saudi Arabia. Nationality: Open to all nationalities.

Location: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money) THE TEAM We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean. We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours. THE ROLE As a Member of Technical Staff focused on Applied AI, you’ll own our AI stack end to end. One framing we keep coming back to: agents are the primary users of our system of record. Everything we build (the data models, the APIs, the UI) has to work for a non-human user that operates at scale, across every client, all the time. That’s a different design constraint than most teams are used to. WHAT YOU’LL BUILD (AND OWN) - A general agent capable of complex, multi-step tasks — planning, sandboxed code execution, web search, retrieval — that powers a "do anything" experience for advisors. - Ambient agents that act on behalf of clients and advisors: triaging email, processing meetings, drafting communications, surfacing what needs attention before anyone asks. - The agent harness that orchestrates LLMs, context, tools, retrieval, and business logic into something coherent and reliable. - Generative UI and human-in-the-loop interfaces where the agent and advisor genuinely collaborate, not just take turns. - Evaluation infrastructure that holds two bars at once: high-correctness financial data and subjective, judgment-heavy tasks. EXAMPLE PROBLEMS YOU’D WORK ON These aren’t hypothetical problems; we’re actively working on versions of all of these. - Human / AI collaboration that actually works in practice. An advisor is mid-call when the agent surfaces a multi-step recommendation: rebalance, adjust the savings rate, revisit the estate plan. The advisor takes two steps and overrides the third. Now what? How does the agent update its model of what this advisor wants, present reasoning the advisor can relay without sounding scripted, and learn over time what to do autonomously versus flag? This is the flywheel: the tighter the collaboration, the more the agent can take on. - Memory systems that know a client the way a great advisor does. A good advisor remembers that a client gets anxious when markets drop, cares more about the kids' college fund than their own retirement, and prefers plain-English summaries. Building memory that captures and evolves this understanding across years—and surfaces the right context at the right moment—is genuinely hard. The challenge is knowing what to retrieve, what's still relevant, and how to represent a person's relationship to money in a way an agent can use. - Generative UI as an agent architecture problem. When an agent views and updates the advisor's screen in real time—rendering scenarios, adjusting visualizations mid-conversation, surfacing recommendations inline—the UI is constantly changing. The challenge is how the agent manages state across those changes and how you keep the experience from feeling unpredictable. When the visualization shows a client's actual retirement savings, the advisor can't be surprised by their own screen. - Evaluations that work for financial services. Most evals are built for tasks with a single right answer. Financial advice isn’t like that; the same recommendation can be right for one client and wrong for another, and “correct” often depends on context the eval harness doesn’t have. You’ll build evaluation infrastructure that can hold two different bars simultaneously: high-accuracy financial data where errors have real consequences, and judgment-heavy tasks where the right answer is subjective and the stakes are relational. Add to this the compliance requirements of financial services, where auditability isn’t optional and infrastructure has to handle large, constantly changing datasets where a stale answer can be as harmful as a wrong one. THE KIND OF PERSON WHO THRIVES HERE You’re excited by ownership, ambiguity, and building things that matter. - You're comfortable where "correct" isn't always obvious. Financial advice isn't deterministic, and neither is evaluating it. You're energized by probabilistic systems and rigorous about the evaluation infrastructure that tells you whether you're improving—you trust experimentation more than your first instinct. - You're ambitious in a way specific to this work. You're building agents that touch real retirement savings and estate plans. A hallucination here isn't a product bug; it's a wrong answer that affects someone's financial future. That consequence makes you more careful, not slower. - You move fast, and you know speed and reliability aren't in tension here. An agent that behaves differently in production than in eval is a liability. You treat evaluation and iteration as part of shipping, not steps that come after. - You have taste, and a high bar for what that means here. You spot AI slop instantly and won't let it through review. You know "tech debt vs. shipping" is a false tradeoff and act accordingly—leaving systems better instrumented and better understood than you found them. - You’re someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don’t have clean answers. The people who thrive here love to argue about agent architecture at lunch and then run an eval together in the afternoon. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you’re genuinely energized by this environment (not just tolerant of it). WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next. - The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows. - The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is. - The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.

Локация: Удаленно (РФ), офис в Москве или Санкт-Петербурге, либо гибридный формат Компания: Сервис для путешествий и поездок Туту. Что делать Управлять командой, включая подбор, адаптацию, обучение и развитие супервайзеров и наставников. Планировать работу, ставить цели, контролировать эффективность и управлять приоритетами ресурсов. Анализировать причины претензий пользователей и внедрять улучшения в процессы для повышения качества сервиса. Выступать в роли конечной инстанции при решении самых сложных и нестандартных проблем клиентов. Сотрудничать со смежными подразделениями (продуктовыми командами, PR) и участвовать в проектах компании. Требования Опыт управления командой схожего масштаба от одного года. Аналитический склад ума, умение собирать информацию и принимать взвешенные решения. Развитые лидерские качества, эмпатия и умение мотивировать людей. Сильные коммуникативные навыки для ведения деловой переписки и устных переговоров. Готовность к работе в графике 5/2 в соответствии с ТК РФ. Культура и преимущества ДМС со стоматологией, страховка для путешествий и психологическая поддержка. Возможность создавать новые направления с нуля и реализовывать собственные идеи. Доступ к сильной внутренней базе знаний и опытное руководство. Дружелюбная атмосфера, поддержка коллег и яркие корпоративные мероприятия. Полное соблюдение ТК РФ.

Обязанности: - Запускать и развивать сервисы, которые основаны на ML-моделях и LLM - Работать над проектами от идеи до продакшена: анализировать потребности, проектировать архитектуру, разрабатывать и внедрять проекты - Интегрировать модели в удобные для сотрудников интерфейсы - Вместе с командой влиять на технические решения и стандарты, внедрять лучшие практики Требования: - Опыт работы с Python 3 - Опыт работы с FastAPI и базами данных PostgreSQL, контейнерами в Docker и кластерами Kubernetes - Умение писать тесты на Pytest - Интерес к миру ML на уровне доменной области - Самостоятельность и готовность нести ответственность за проект

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . This role is fully remote. Reddit has a flexible first workforce. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient. We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences. This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can lead cross-functional projects to deliver concrete business results across the organization. What you’ll do: Lead Reliability Engineering Drive complex, cross-organizational programs to advance reliability, scalability, and performance for user-facing systems. Own execution from design through launch across API, content delivery, feed generation, search, and real-time experiences. Shape the Future of Reliability Define and drive long-term roadmaps for a domain of ownership within the team, turning ambitious reliability goals into strategic investments that build resilience, unlock scale, and enable product innovation. Build Strategic Partnerships Own and grow cross-functional partnerships across product and infrastructure engineering, aligning teams on shared reliability priorities and shaping the investments that keep Reddit resilient as it scales. Eliminate Systemic Risks Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Drive structural improvements that address root causes, eliminate recurring failures, and prevent entire classes of incidents. Shape Automation Strategy Define the team’s approach to automation, identifying new opportunities and reusable patterns that make it easier to automate deployment safety, incident response, remediation workflows, and reliability guardrails Influence Engineering Standards Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company. Elevate the Team Develop engineers at every level through technical leadership, mentorship, and shared learning. Strengthen the team’s engineering judgment, reliability expertise, and ability to deliver with confidence. What We’re Looking For 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating best-in-class large scale distributed systems. Expertise leading complex, cross-organizational engineering programs from design through launch. Experience defining technical roadmaps to prioritize broad strategic reliability investment. Proven ability building cross-functional partnerships to align business priorities and facilitate effective technical collaboration. Expertise using and improving observability systems to expose failure modes, accelerate diagnosis, and answer complex questions about system behavior. Expertise troubleshooting complex issues across system, infrastructure, and networking. Strong software engineering fundamentals, sound operational judgment, and effective collaboration practices across teams. Nice to Have Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms. Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies. Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure. Contributions to open source software or participation in technical communities. Experience leading large scale incident response and operational transformation initiatives. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Задачи: — Писать код на Python (FastAPI / Django) для бэкенда. — Закрывать фронтенд-задачи на React / Vue / Next.js (админки, простые интерфейсы, интеграция с Telegram Mini Apps). — Проектировать архитектуру микросервисов под высокие нагрузки (десятки тысяч пользователей). — Работать с PostgreSQL, Redis, ClickHouse (оптимизация запросов, кэширование, аналитика). — Интегрировать AI-сервисы (OpenAI, ComfyUI, генерация видео, RAG, fine-tuning LoRA). — Руководить 2–4 разработчиками (full-stack, AI-промтологи, бэкенд). — Проводить код-ревью, менторить, помогать расти. — Участвовать в найме и онбординге новых разработчиков. — Отвечать за соблюдение дедлайнов и качества кода. — Настраивать и поддерживать пайплайны в GitHub Actions. — Управлять деплоем на сервера (Docker, Docker Swarm / K8s, Nginx / Traefik). — Обеспечивать uptime 99.9% и быстрое восстановление после инцидентов. Требования: — Python (FastAPI / Django) — уверенно, 4+ лет. — React или Vue / Next.js — базовый уровень (чтобы закрыть админку или поправить интерфейс). — PostgreSQL (оптимизация, индексы, репликация). — Redis (кэширование, сессии, очереди). — Docker, CI/CD (GitHub Actions). — Опыт с AI (OpenAI API, LangChain, RAG, работа с нейросетями). — Опыт разработки от 5 лет, из них минимум 1 год — Team Lead / Tech Lead. — Умеете и сами писать код, и управлять командой. — Понимаете, как строить масштабируемую архитектуру под highload. — Знаете, как оптимизировать БД и кэшировать данные (чтобы не ложилось при 10k RPS). — Работали с AI / LLM (не просто вызывали API, а встраивали в продукт). Будет плюсом: — ComfyUI, LoRA, ControlNet, генерация видео. — ClickHouse (аналитика, большие данные). — Kubernetes / Docker Swarm. — Опыт с Telegram Mini Apps. — Go (высоконагруженные микросервисы). Личные качества: — Скорость и прагматизм — не «идеальный код на месяц», а «работающее решение на сегодня». — Ответственность — за дедлайны, за стабильность, за команду. — Коммуникабельность — умеете объяснить разработчикам задачу, а заказчику — сроки. — Стартап-менталитет — готовность делать руками то, что нужно здесь и сейчас. Условия: — от 5000$ (фикс + бонусы за KPI). — Удалённо, полная занятость. — Возможность влиять на архитектуру и продукт с первых дней. — Минимум бюрократии, максимум скорости.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Trade Support Specialist , you’ll provide middle office support to a group of trading desks based in Chicago. This is an opportunity to solve challenging problems while working closely with experienced traders, researchers and software engineers to optimize operational workflow and use the right tools and technology for the job. Responsibilities: Provide operational and technical support for the firm’s equity options trading desks Trade capture for all products related to the desks’ activity: futures/futures options, equities/equity options, index options Trade and position reconciliation with the firm’s clearing houses and brokers Daily P&L calculation and substantiation Working knowledge and experience in derivatives Gain mastery of the firm’s proprietary trade capture, inventory management, treasury management, and risk management systems necessary to support the desks’ activity Act as process owner for current functionality and provide critical support and advice regarding needed enhancements to technology, workflows, and processes: Gain a strong understanding of traders’ risk management tools and provide support for related traders’ needs Upgrade and support traders’ tools to effectively utilize technologies and tools that are firm standard Interface with technology to improve tools where they fall short of meeting the desks’ needs Adopt, integrate, and promote new technology as it becomes available Requirements: Strong interest in, and working knowledge of equities and derivatives Experience with Version Control, Git, Python, Cron, Linux Proven experience automating or improving workflows using Python 3+ years of experience in the front office, middle office, back office, or risk management roles working with exchange-traded and over-the-counter products and derivatives Substantial prior interaction with the front office and senior management in an active trading environment Bachelor’s degree in computer science, finance, economics, math, or another quantitative field or material equivalent exposure Demonstrated ability to work independently Demonstrated ability to analyze problems and synthesize and implement solutions The annual base salary range for this position is $100,000 to $150,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]