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Location: Worldwide Workplace: hybrid COLUMBIA SHIPMANAGEMENT is looking for self-motivated and skilled 3rd Engineers to join our expanding Bulk fleet.   JOB DESCRIPTION:   Holder of valid COC (STCW Reg III/1) with verification. Holder of valid STCW certifications required for the position. Experience with multicultural working environment. Experience on Bulker vessels equipped with cargo crane Good communication and leadership skills. Fluent in written and spoken English language. Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 6 months in Rank on the same type/size of vessel. Experience in trading area USA and Australia is recommended. Supramax size vessels experience is required.   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 months] Contract Benefit: competitive salary Terms and condition as per CBA applicable Rejoining Bonus Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date.   Looking forward to welcoming you in the Columbia Family.

Location: European Union; Ukraine Workplace: Remote About the Role We’re looking for a Senior Backend Developer who thrives in a deeply hands-on environment and enjoys being close to the code on a daily basis. This role is heavily focused on building, optimising, and scaling backend services in a high-load system where performance and reliability are critical. You’ll be working on complex, real-time challenges at the core of our platform - improving latency, ensuring high availability, and making systems more efficient at scale. This is not a coordination-heavy role; it’s for someone who enjoys writing production code, solving tough engineering problems, and seeing the direct impact of their work. If you’re product-driven, take ownership, and prefer a “build first, improve fast” approach while working on systems where every millisecond matters - this role will feel like home. Key Responsibilities - Work as part of a cross-functional team owning a core product within the platform - Design, build, and deliver new backend features end-to-end in a distributed environment - Write high-quality, production-level code daily, contributing directly to a high-load, scalable system - Take ownership of services handling financial transactions at scale, with a strong focus on reliability and accuracy - Proactively suggest and implement improvements in architecture, processes, and development practices - Participate in code and architectural reviews to maintain high engineering standards - Solve complex business and technical challenges with pragmatic, efficient solutions - Participating in on-call rotations within the squad to ensure the reliability and availability of our systems - Play an active role in ongoing tech transformation initiatives across the platform - Collaborate closely with engineers, product, and other stakeholders to deliver impactful solutions used by millions globally Requirements - Solid experience with Node.js/TypeScript is ideal, but we also welcome experts in other OOP languages such as Java, Python, C++, C#, or Go - Strong understanding of asynchronous programming techniques - Deep production experience with Kafka: confident reasoning about consumer-group rebalances and their impact on in-flight processing, offset-commit strategies under retries and duplicate delivery, and the limits of "exactly-once" semantics - Experience designing idempotent, retry-safe handlers for at-least-once pipelines: transactional outbox, idempotency keys, and deduplication - Experience building services with gRPC or similar RPC frameworks - Strong knowledge of relational databases such as MySQL or PostgreSQL, plus production experience with at least one NoSQL technology at scale, such as DynamoDB, MongoDB, or Redis - Hands-on experience running services on Kubernetes and AWS/GCP: deployment, autoscaling, resource limits, and production debugging - Production operations experience: on-call ownership of a high-load system, including incident response, impact assessment, root-cause analysis, and post-incident improvements Nice to Have - Experience with ClickHouse or other columnar/analytical databases - Experience with multi-region / failover architectures: data replication, regional isolation, and graceful degradation - Practical use of AI coding agents such as Cursor or Claude Code as part of daily development: effective prompting, reviewing, and validating AI-generated code - Understanding of application security and industry best practices - Gambling domain experience What We Offer - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Recruitment process 1. HR interview (30-45mins) 2. Interview with a Hiring Manager (45mins) 3. Technical interview with live coding (90mins) 4. Final Interview with C-level (60 mins) By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: United States Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. Focusing on building fundamental Bitcoin infrastructure, Blockstream quickly grew into one of the leading technology power houses of the industry. At Blockstream, we’re building solutions on Bitcoin that will disrupt the existing financial system. We imagine a world where individuals and businesses can easily access a global, permissionless system to secure their money, use it every day, and invest it or put it to work. In pursuit of our expansive vision, we’ve built a full stack of innovative products on top of the Bitcoin protocol, from layer-2 projects like Liquid and Core Lightning, to end-user software and hardware wallets like Green and Jade. Our brand stands for innovation in the Bitcoin community, and we’re growing our team to accelerate the future. Blockstream is looking for Software Engineers to work on our enterprise custody solution. You’ll design and maintain scalable end-to-end systems that serve APIs and SDKs, and work on everything from database architecture to cloud-based deployments.  What You’ll Be Doing (Responsibilities): - Design, develop, and maintain scalable end-to-end systems that serve APIs and SDKs. - Full stack software development, from database architecture to cloud-based deployment. - Optimize system performance and security to support high-availability applications. - Collaborate with cross-functional teams, including front-end developers, product managers, and hardware engineers to deliver seamless solutions. - Implement best practices in software development, including CI/CD, automated testing, and code reviews. - Research and integrate emerging technologies to enhance security and system efficiency. - Troubleshoot and resolve complex software issues in a fast-paced development environment. - Mentor junior developers and contribute to team knowledge-sharing efforts. What We Look For In You (Required Qualifications): - 5+ years of experience in full-stack software development, with a focus on backend engineering. - Proficiency in backend technologies such as C++, Python, Rust, Node.js. - Strong experience in designing and building RESTful APIs and SDKs. - Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). - Deep understanding of database technologies, including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). - Familiarity with authentication and security best practices, including OAuth, JWT, encryption, and access control. - Experience with CI/CD pipelines, automated testing, and DevOps tools. - Strong problem-solving skills and ability to work independently or as part of a team. - Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. Nice To Haves (Preferred Qualifications): - Experience with Bitcoin, blockchain technology, or cryptography. - Open-source software development experience. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience). - Experience with system/software architecture.   🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: San Francisco, CA 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: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include... Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research. Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card ) , misalignment-risk safety cases, and coordination with third-party evaluators. Safeguards Research : Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more. Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area. Representative projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD 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: Thessaloniki; Athens; Limassol; Nicosia; Fully Remote - in other eligible locations Workplace: hybrid The Role:  If you are a Senior Cloud Engineer there may be a place for you at our Group. Outside the usual suspects of solutions, projects, deep troubleshooting and investigations you will also be driving the Group towards its cloud-native goal. Processes, best practices, pillars and their risk assessments will be but a few of the long-term responsibilities you will have. The main responsibilities of the position include: Honour and practice Well Architected Framework in all tasks and responsibilities Research workloads for migrating them to the cloud with minimal interruption and impact Design, orchestrate and track cloud migration projects Design and consult re-platform and re-factor of current cloud infrastructure Coordinate with other IT departments and teams about their cloud infrastructure Investigate and perform regular assessments of cloud deployments in compliance to the Group's standards and best practices Design and orchestrate a risk register of cloud deployments and resources, and coordinate its communication to project managers, senior leadership and other IT departments or teams Research, develop and implement fair use policies and best practices for cloud services while complying to the Group's standards Drive requests for new technologies, services or solutions required from internal customers Design, document and deploy Proof-of-Concepts (PoCs) and Solutions for internal customers in compliance with the Group's framework Define and oversee the Group's deployment standards and pillars and ensure they are applied across cloud solutions and resources Follow and provide training for new and current technologies and services used Analyse, oversee and remediate cloud costs Main requirements: University degree in Computer Science, Engineering or a similar discipline 5 years of cloud services experience, 3 of which should be on AWS cloud Advanced knowledge in solution design and deployment projects Understanding and practice of Well Architected Framework Methodical troubleshooting of issues and mentoring capabilities Experience in AWS technologies, services and ecosystem Advanced knowledge of Infrastructure as Code (IaC) concepts and tools, preferably HCL Terraform and AWS CloudFormation Experience with versioning tools such as git Advanced Linux, networking and scripting skills (Bash) Comprehend and accommodate practices such as FinOPS or SRE Distinctive organisation and documentation skills The following will be considered an advantage: Experience in Windows OS Experience in RDBMSs, preferably Postgres and MySQL Experience in scripting languages such as Python or Go Benefit from: Attractive remuneration package plus performance-based reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models. The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role. This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple Kubernetes clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day. Location : Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country. What your day will look like The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code. Work across the entire Linux stack, from kernel, networking, storage, to applications, Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark, Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud), Collect customer business requirements and advise them on Ubuntu and relevant open source applications, Grow a healthy, collaborative engineering culture in line with the company values, Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients, Liaise with product teams to give them feedback on requirements to influence roadmap, Work collaboratively with your sales team to reach our common targets, Global travel up to 30% of time for internal, external events and customer meetings. What we are looking for in you Exceptional academic track record from both high school and university, Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path, Experience in data engineering, MLOps, or big data solutions deployment, Experience with a relevant programming language, like Python, R, or Rust, Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation, Track record of going above-and-beyond expectations to achieve outstanding results, Demonstrated personal interest in continuous learning and development, Practical knowledge of Linux, virtualization, containers and networking, Business-minded technology thinker and problem solver, Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP, Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics, Intermediate level Python programming skills, Passion for technology evidenced by personal projects and initiatives, The work ethic and confidence to shine alongside motivated colleagues, Professional written and spoken English with excellent presentation skills, Experience with Linux (Debian or Ubuntu preferred), Excellent interpersonal skills, curiosity, flexibility, and accountability, A dynamic person who loves to jump in new projects and interact with people, Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation, Thoughtfulness and self-motivation, Result-oriented, with a personal drive to follow up and meet commitments, Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings. What you’ll learn Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training, Wide range of open source applications and skills, Work directly with customers in a range of different businesses, Real-life and hands-on exposure to a wide range of emerging technologies and tools. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Athens; Limassol; Nicosia; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role: You will join a team working with cutting-edge technologies and striving to utilise cloud services to the maximum. Your role will be to provide the necessary infrastructure using Terraform, develop CI/CD pipelines in GitLab or Jenkins, and create automations to support the development teams. Additionally, you will ensure that the underlying infrastructure runs smoothly, and the systems and tools work as expected. You'll be responsible for helping developers with troubleshooting and providing consultation in case of alerts.   As a senior engineer, you will also take ownership of specific domains or projects within the business, leading technical direction and ensuring alignment with strategic goals. You will play a key role in mentoring and overseeing other engineers, fostering collaboration, sharing best practices, and helping to drive continuous improvement across the team. The main responsibilities of the position include: Collaborate with the development teams to plan, deploy and administer applications running on AWS and Kubernetes Maintain the AWS infrastructure using Infrastructure as Code principles and Terraform Initiate and drive the adoption of technologies and use of good patterns for development and operations Mentoring and overseeing other engineers Lead and manage specific technical domains or projects, ensuring architectural consistency, scalability, and alignment with business objectives Oversee and improve engineering processes and practices, identifying opportunities for automation, optimization, and enhanced system reliability Implement and oversee cloud migration projects Provide guidance for re-platform and re-factor of current cloud infrastructure Communicate to the senior leadership, the cloud migration projects progress Preserve business continuity 24/7 with minimum downtime and financial impact Investigate and perform regular assessments of cloud deployments in compliance with the company’s standards and best practices Ensure the Company’s deployment standards and pillars are followed in cloud solutions and resources Stay up to date with the latest tools and trends in the industry Follow and provide training regarding new and current technologies and services used Main requirements: BSc/MSc in Computer Science, or a similar discipline Overall knowledge of solution design and deployment projects Experience with Docker Experience in or knowledge of CI/CD with GitLab and/or Jenkins Experience in AWS technologies, services and ecosystem Experience with Kubernetes Knowledge of Infrastructure as Code (IaC) concepts and tools, preferably Terraform Experience with versioning tools such as Git Distinctive organisation and documentation skills Excellent time management skills Essential Linux and Windows admin, networking and scripting skills Benefit from: Attractive remuneration package plus performance-based reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Frankfurt am Main, Germany Company: They design and supply process technology and equipment for crushing and oil extraction, edible oil refining, FAME biodiesel production, oleochemical processes for fatty acids, glycerine purification, fatty alcohol and more. Position Summary Reporting to the Regional Sales Director, job holder is responsible and accountable for the following: •    Qualifying opportunities that come from the Edible Oil and Oleochemical industry. •    Technically and commercially identify and evaluate customer’s requirements in order to prepare proposals. •    Liaise with internal technical team while managing customers with the objective to secure contracts. •    Utilize engineering and business skills to navigate project tenders, cost estimations, sales cycles and identifying new opportunities. Key Responsibilities / Duties •    Assist the Sales Director in planning, preparing and executing contract tender opportunities in the edible oil/oleochemical industry. •    Generate proposals by putting together project cost estimation, process plant operating costs, scope of supply and process flow diagrams. •    Be able to do project cost estimations, calculate rough equipment sizes, approximate process plant consumption and understand plant processes. •    Use engineering skills with business sense to match client requirements to good solutions. •    Create and deliver product presentations that highlight value propositions of technology. •    Assist the Sales Director to develop and implement the Sales and Marketing strategy for the Company in line with market growth potential, technological and price competitiveness and any emerging opportunities in allied technologies and supply. •    Assist the Sales Director to penetrate the market to ensure optimum market coverage and timely response to market opportunities in terms of proposal preparation, follow up and negotiations. •    Develop and maintain healthy customer relationships and provide support to maintain confidence in the Company, its products and enhance future sales possibilities. •    Closely monitor the competitive environment including technology and commercial developments of key competitors and provide these inputs to the Sales Director to develop counter strategy. •    Follow up regularly on submitted proposals and identify key customer concerns to address in order to close sales. •    Co-ordinate with Engineering Department for assistance in proposal generation and solutions. •    Co-ordinate with the Engineering / Operation Department on new contracts to ensure that they are informed on all the commitments made by the Sales Department and other relevant information apart from what is stipulated in the Contract. •    Co-ordinate orders booking, invoicing and ensure payment collection with respective Project Leaders. •    Assist in the preparation of selected conferences and exhibitions and participate during the exhibition. Requirements Qualification •    Bachelor's degree in chemical / Process Engineering Experience •    2- 4 years preparing Sales proposal for equipment or project tender, fresh graduates are encouraged to apply •    Experience in Edible Oil or Oleochemical industry is an advantage •    Willing to travel on short notice

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 84 mobile network operators in 58 countries around the world. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts. What you will have An opportunity to work with some of the brightest minds in the Software & Telecom industry. Hands-on opportunities to learn from the best and put your knowledge and skills to work A mentor to help you build and develop your potential A friendly, open and collaborative environment that thrives on learning and practicing Job Description: Design, delivery and customization of Radio Network Optimization & Planning automation solutions Participate in technical meetings, monitor products performance, prepare module/feature activation reports, perform acceptance tests and highlight benefits of company products Provide L3 support for active customers and feedback to product and development teams Requirements for the position Pursuing a degree in Telecommunications or Electrical and Electronics Engineering programs Being in his/her final year, or recently graduated Telecommunication domain know-how and working experience is a plus Oracle PL/SQL knowledge is a plus Excellent verbal and written communication skills in English Enthusiastic team player, a positive thinker, self-motivated, willing to learn and customer-centric. Passionate about trying new things An excellent communicator and team player Available at least 4 days a week (at the office) Apply today and unlock your potential!

Location: Cape Town, South Africa Workplace: remote WELCOME TO OLX   Software innovation is the driving force behind the success of Property24. We strive for outstanding user experiences on our websites, desktop, and mobile applications. We've created the leading property marketplaces in SA and Kenya, and are by no means finished. Join the tech-savvy team where quality, scale and performance are the foundations of our success. We're always growing our products, so if you're one of SA's talented Software Developers, then you'd be a great addition to our team.     At OLX, we're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands –  AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. This role is open as remote for all candidates based in South Africa.     We are looking for someone who: Likes building websites, backend systems or mobile applications. We are building a worldwide platform and need your help to succeed. If you are all about software development, performance, scale and user experience then come and be part of our dedicated and successful team. Requirements: Minimum 5 years' experience with C# University or related Computer Science degree/diploma South African citizenship Advantageous: Web Technologies (HTML, CSS, BootStrap, LESS etc) Microsoft Web Stack (MVC, C#, Razor, IIS, ASP.Net etc) Mobile Application Development (iOS, Mono, Android, Java etc) High performance/scale technologies (Caching, Load Balancing, Profiling, Indexing etc) Relational Databases (Microsoft SQL) Does this sound like you? Good attention to detail Open to and willing to give critique Genuinely interested in coming up with the best solution Constantly learning about the things they are busy with and sharing with others What we offer: Working with latest development tools Fast development environment No constant overtime to meet deadlines Guidance from and access to some very talented people At Property24, we're passionate about creating the experiences for our users and customers that we'd love to have ourselves. So why not join our team.   Our employments equity goals will be taken into account in our selection process. If we're blown away by your CV, we'll call you in for an interview. We'll give you a warm welcome, a quick test to challenge your mind and a chat to weigh up your skills and personality - simple, right? If you get the job, be prepared for a pretty great adventure! We look forward to meeting you.   To support our commitment to diversity, inclusion, and compliance with South Africa’s Employment Equity Act, we collect gender and race information to help us monitor and promote equal opportunities. Please note that this information is confidential and does not influence hiring decisions, which are based solely on qualifications and experience.   Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD 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: San Francisco, CA | New York City, NY 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 teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD 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: London, UK 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: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £370,000 GBP 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: Belgrade; London; Berlin Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: Philippines; Cavite, Philippines; Manila, Philippines; Taguig, Philippines; Cebu, Philippines REMOTE: Senior Software Engineer - Full Stack Developer Job Description: We are seeking a highly skilled Senior Software Engineer with expertise in Microsoft SQL Server and SQL Server Reporting Services (SSRS) to join our dynamic Development Team. This role is ideal for a full stack developer who thrives across the entire software development lifecycle—designing and optimizing databases (backend), building robust business logic and applications (middle tier), and crafting intuitive, user-friendly interfaces (frontend). The successful candidate will play a key role in developing custom applications and complex reports, integrating them into web or desktop platforms, and delivering tailored technical solutions to meet organizational needs. This position offers the opportunity to work on enterprise-level systems, with a focus on educational institutions, student information systems (SIS), or learning management systems (LMS). If you’re proactive, detail-oriented, and passionate about translating business requirements into innovative software solutions, we’d love to hear from you. Basic Functions: ■ Design, develop, and maintain custom applications and complex reports using Microsoft SQL Server, T-SQL, SSRS, and tools like .NET or similar frameworks. ■ Perform all phases of the system development lifecycle: planning, design, development, implementation, deployment, and maintenance. ■ Optimize database structures and queries for performance and scalability. ■ Create and integrate user-friendly front-end interfaces with backend systems. ■ Document solutions through clear code, flowcharts, diagrams, and technical documentation. ■ Conduct software testing, debugging, and quality assurance to ensure reliable updates and deployments. ■ Collaborate with stakeholders to understand business needs and deliver tailored technical solutions. ■ Provide training and support to clients or internal teams on application maintenance and updates. ■ Contribute to the continuous improvement of the Development Team and internal software processes. Additional Duties and Responsibilities: ■ Enhance customer service and satisfaction through effective communication and timely delivery of solutions. ■ Escalate and resolve development challenges within agreed service levels, keeping stakeholders informed of progress and changes. ■ Maintain in-depth knowledge of our software and its alignment with customer goals, particularly in educational or enterprise contexts. ■ Track time, expenses, and project tasks using the appropriate tools (training provided). Knowledge, Skills, and/or Abilities Required: ■ Proven expertise in Microsoft SQL Server, T-SQL, and SSRS report design. ■ Full stack development experience with proficiency in .NET or similar frameworks. ■ Strong skills in database design, optimization, and integration with web or desktop platforms. ■ Familiarity with enterprise systems such as SIS, LMS, ERP, CRM, HRMS, Library Management Systems, Admissions and Enrollment Management Systems, Facilities and Campus Management Systems, or Analytics/BI Tools (e.g., Power BI). ■ Experience working with educational institutions or similar complex organizational environments is a plus. ■ Excellent interpersonal and communication skills, with the ability to translate technical concepts for non-technical stakeholders. ■ Ability to manage multiple priorities in a fast-paced environment while maintaining attention to detail. ■ Self-motivated, proactive, and adept at problem-solving and technical diagnostics. Educational/Vocational/Previous Experience Recommendations: ■ BA/BS in computer science, software development, or a related field (MBA/MS preferred but not required). ■ 5+ years of development experience, with a focus on SQL Server, SSRS, and full stack application development.

Location: New Delhi, India; Mumbai, India; Chennai, India A leading Talent Acquisition Company in Saudi Arabia is seeking an experienced Piping Engineer to join our team in Saudi Arabia. In this role, you will be responsible for the design, analysis, and execution of piping systems for various projects primarily in the oil and gas industry. Your expertise will ensure that all piping systems meet required specifications and comply with industry standards. Your role will include collaborating with cross-functional teams, conducting stress analysis, and leading project activities within budget and timelines. If you are looking for an opportunity to contribute to innovative projects in a dynamic environment, we would love to hear from you. If selected, the job location would be onsite at Saudi Arabia. Requirements Bachelor's degree in Mechanical Engineering or a related field. Minimum of 7 years of experience as a Piping Engineer in the oil and gas sector. Proficiency in piping design software, such as CAESAR II and AutoCAD Plant 3D. Strong understanding of relevant industry codes and standards (e.g., ASME B31.3, API 570). Experience in stress analysis, design, and installation of piping systems. Excellent communication skills and the ability to work collaboratively in a team-oriented environment. Experience working in Saudi Arabia is highly desirable. Strong analytical and problem-solving skills.

Location: Bogotá, Colombia; Mexico; Tegucigalpa, Honduras; Madrid, Spain; San José, Costa Rica Uptalent.io is looking for a dedicated Stormwater Design Engineer with ICPR proficiency to join our dynamic team. As a premier platform that connects top-tier talent with exciting global opportunities, we aim to provide innovative engineering solutions to our clients. In this role, you will be responsible for the design and analysis of stormwater management systems, utilizing your expertise in ICPR (Integrated Catchment and Pollution Reduction) software. The successful candidate will contribute to various projects, ensuring that all designs meet regulatory requirements while also addressing environmental sustainability. You will work closely with a team of engineers and stakeholders to deliver high-quality solutions for stormwater infrastructure. Responsibilities Using ICPR and Civil3D software to analyze, design and model stormwater systems Prepare and review design documents, reports, and calculations Main Tasks:  Drainage design, Pump drainage design, Coordinating with contractors, Civil 3D drafting, profiles, cross sections, Drainage reports, Grading. Calculations in ICPR 4. Construction plans. Collaborate with multidisciplinary teams to ensure project success Stay current with local, state, and federal regulations related to stormwater management Requirements Bachelor's degree in Civil Engineering, Environmental Engineering, or a related field Minimum of 3 years of experience in stormwater design and management Proficiency in ICPR and Civil 3D software is mandatory Previous experience working for the U.S Market. Experience with hydrologic and hydraulic modeling techniques Knowledge of regulations and best practices in stormwater management Strong analytical and problem-solving skills Excellent communication and teamwork abilities Ability to manage multiple projects and meet deadlines Benefits Work from the comfort of your own home or anywhere else Enjoy highly competitive compensation Join the most exciting companies in the US Benefit from a flexible schedule Achieve a healthy work-life balance

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward—through models, data, tools, or any other leverage available - Architect and build core components of our search platform and model stack - Train and evaluate retrieval, ranking and classification models, including LLMs - Deploy models - from boosting to LLMs - in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Self-driven, with a strong sense of ownership and execution - Minimum of 5 years of working on search or recsys-related projects