Вакансии

Location: Germany Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Strong frontend skills with TypeScript/JavaScript and React Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience building data-oriented interfaces and visualizations   #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Riga Workplace: remote CSM Romania is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATION Overall, in charge of engine room operations and maintenance of all machinery. Ensure safe, efficient operation of main engine, auxiliaries, and electrical systems. Plan and execute preventive maintenance and repairs. Monitor fuel consumption, lube oil, and engine performance. Lead and manage engine crew, assign duties, and conduct training. Ensure compliance with safety, environmental, and regulatory requirements. Experience in repairs and dry docking is required. Holder of a valid COC (STWC Reg III/2) with verification. Holder of valid STCW certifications required for the position. Experience with a multicultural working environment. Good communication and leadership skills. Fluent in the written and spoken English language. Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 12 months in rank with Engine type (4 stroke Experience on Electronic engines is preferred.   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 month]  Contract Benefit: competitive salary Terms and condition as per CBA applicable 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 Group Family.

Location: Riga Workplace: remote CSM Romania is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATION Responsible for the proper operation and maintenance of the engine room and other machinery equipment. Assist the Chief Engineer in managing daily engine room operations. Supervise maintenance and repair of main engine, auxiliaries, and machinery. Plan and execute preventive maintenance schedules. Monitor fuel, lube oil, and machinery performance. Lead engine room watchkeeping and manage engine crew. Ensure safety, pollution prevention, and compliance with regulations. Holder of a valid COC (STCW Reg III/2) with verification. Holder of valid STCW certifications required for the position. Experience in repairs and dry docking is required. Experience with a multicultural working environment. Good communication and leadership skills. Effective English communication. Safety culture and mindset.   Holder of a valid COC (STCW Reg III/2) with verification. Holder of valid STCW certifications required for the position. Experience in repairs and dry docking is required Experience with a multicultural working environment. Good communication and leadership skills. Effective English communication Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum Experience in Rank 12 months with Engine type (4 stroke). Experience on Electronic engines (RT Flex - ME) is preferred.   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 Group Family.

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Senior Software Engineer - Location: Espoo - Department: Engineering - Reports to: Engineering Lead, Orbit Control - Employment type: Permanent - Workplace model: Office / Hybrid - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior Software Engineer, you’ll help keep ICEYE’s world-leading SAR satellite constellation operating safely and reliably. Working in the AOCS domain, you will take technical ownership of Orbit Control software that helps ensure our satellites are exactly where they need to be to fulfil their mission. Your work will directly affect the performance, reliability, and quality of the SAR data ICEYE delivers to customers. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Take technical ownership of the Orbit Control codebase, primarily written in Python, ensuring it is robust, maintainable, and operationally reliable - Design, implement, test, deploy, and maintain ground segment software to control the orbits of our satellites - Build and maintain verification and validation procedures for Orbit Control software in close collaboration with operations teams - Debug system anomalies systematically and identify root causes to prevent recurrence - Improve telemetry data analysis, processing, visualization, logging, monitoring, and alerting capabilities - Collaborate with orbital mechanics experts, mission teams, Staff Engineers, and Engineering Leads to translate operational needs into high-quality software solutions - Define and promote strong software engineering practices, including automated testing, CI/CD, and operational monitoring - Mentor junior engineers and contribute to the technical direction of the team WHAT WE’RE LOOKING FOR MUST HAVES: - Proven experience across the full software lifecycle, including designing, building, testing, deploying, and maintaining production software - Strong experience with operationally critical or high-reliability software systems - Expertise in systematic root-cause analysis, diagnostics, monitoring, and debugging of distributed systems - Ability to evaluate technical options rigorously and guide teams toward well-considered engineering decisions - Strong understanding of software engineering practices such as automated testing, CI/CD, observability, and operational monitoring - Ability to lead complex technical initiatives, mentor engineers, and influence technical direction - Strong collaboration and communication skills in cross-functional technical environments NICE TO HAVES: - Experience with Kubernetes or similar orchestration systems - Experience working with spacecraft operations, orbital mechanics, AOCS, or mission-critical aerospace systems - Experience building tools for telemetry analysis, visualization, logging, alerting, or operational insight APPLICATION PROCESS - Talent Acquisition screening (remote) - Hiring Manager interview (remote) - Take-home task and technical interview (remote) - On-site Systems Design Workshop - On-site Behavioural Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Compliance team's primary objective is to ensure that OKX operates in accordance with regulatory requirements while maintaining the highest ethical and moral standards. The team owns the full compliance engineering stack: KYC onboarding and refresh, sanctions / PEP / adverse-media screening, transaction monitoring (TM) and travel-rule enforcement, case management, and regulatory reporting. We achieve this by developing compliance service solutions, integrating with KYC & AML vendors, and enabling robust business growth, which ultimately strengthens user trust in our platform. Our ultimate goal is to create a culture of compliance excellence, where innovation and responsible business practices are seamlessly integrated. In compliance, a system that is mostly right is wrong — so every control we build must be deterministic in its enforcement, complete in its coverage, and explainable in its outcome. What You’ll Be Doing Formulate, select, and develop technical schemes for platform projects across the compliance domain — KYC onboarding flows, identity verification and refresh, sanctions / PEP / adverse-media screening, transaction monitoring, travel-rule, case management, and regulatory reporting — including AI/ML-powered features such as intelligent screening disambiguation, document verification, anomaly detection, automated risk scoring, and analyst-assist agents. Organize and coordinate resources, leading project research and development, troubleshoot problems, and ensure quality and timely completion — including delivery of AI model integration work within KYC, screening, and monitoring workflows. Facilitate cross-team communication and promote teamwork efficiency through code quality control and collaboration, including partnering with Data Science, Risk, and Legal to productionize models and ensure reliable, auditable inference infrastructure. Define where probabilistic AI is appropriate versus where deterministic logic is mandatory — and design the boundary cleanly so models assist without compromising auditability or enforcement integrity. Undertake team tasks and cultivate technical talents in the industry, with a focus on building AI engineering best practices across the compliance engineering team — patterns for agentic coding, prompt libraries, eval suites, and human-in-the-loop review of AI-generated work in a regulated environment. What We Look For In You A compliance-first systems mindset — you instinctively reach for state machines, idempotency keys, exactly-once semantics, reconciliation jobs and immutable audit logs. You understand that in compliance, false negatives cost millions and false positives cost trust, and you design accordingly. Prior experience in KYC, AML, sanctions, fraud, or payments is a strong plus; experience surviving a regulatory audit is an even stronger plus. Daily, fluent use of modern AI coding tools — Claude Code, Cursor, GitHub Copilot, Codex CLI, or equivalents. You can describe the specific workflows you run, the failure modes you have hit, and the guardrails you have built around AI-generated code. AI fluency is required, not nice-to-have. Production experience integrating AI/ML model inference into Java services — REST/gRPC-based model serving, feature engineering pipelines, latency-sensitive inference optimization, graceful degradation, and drift / rollback playbooks. Hands-on experience with LLM application patterns — at least one of: RAG pipelines (vector store + retrieval + grounding) for policy / KYC / case lookup, agentic workflows (tool use, multi-step reasoning, validation loops) for analyst assistance, or LLM-based classification / extraction shipped to production. Discipline around AI output — you do not ship LLM features without evals, hallucination tests, prompt regression suites, and human-in-the-loop review for high-stakes decisions. You have an opinion on when to reach for a frontier model vs. a fine-tuned small model vs. a deterministic rule, and can defend that trade-off to a regulator. Exposure to LLM integration or AI agent frameworks is a strong plus — e.g. prompt engineering at the system level, RAG pipelines, or orchestrating AI workflows within a regulated environment. Good understanding of software engineering basics, distributed system principles, including CAP, consistency, idempotency, and exactly-once vs at-least-once semantics. Clear logic, quick thinking, and good communication skills — including the ability to write clearly for non-engineers (compliance officers, auditors, regulators). AI Proficiency Expectations & Interview Process AI fluency is a required engineering competency for this role, on the same level as ‘can write good Java’. We will assess it explicitly during the interview, and a strong showing here is a meaningful plus: AI-augmented workflow demo — walk us through how you use AI tools day-to-day. The prompts, the tasks you delegate to an agent vs. write yourself, how you review AI-generated diffs, and how you measure the impact (commit velocity, defect rate, test coverage). Concrete examples beat slogans. Live agentic exercise — a working session using the AI coding agent of your choice on a realistic compliance-flavoured problem. We look at how you scope, prompt, validate, and integrate AI output, not whether the agent gets it right first try. Design discussion with a probabilistic twist — expect at least one system-design question where the right answer involves deciding when not to use an LLM, and how to design the deterministic fallback. We hire engineers who can defend that boundary. Evaluation & guardrails — be ready to discuss an eval suite or guardrail you have built for an AI feature in production (e.g. an LLM-assisted SAR narrative drafting tool, an AI-assisted KYC document review step, or screening-hit disambiguation). If you have not shipped one, tell us how you would design it. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development — including budget for AI tools, courses, and conferences Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Al Khobar, Saudi Arabia; Al Jubail, Saudi Arabia Wer are seeking a detail-oriented and proactive Technical Clerk to join our team. In this role, you will provide essential administrative and technical support to various engineering and technical departments. Your responsibilities will include managing technical documentation, assisting in the coordination of technical projects, and ensuring accurate record-keeping of all technical data. This position requires excellent organizational skills, a good understanding of technical terminology, and the ability to interact effectively with engineers, project managers, and other staff members. Requirements 5 - 8 years of work experience Diploma in one of the following disciplines - Business Administration, Human Resources, Office Administration, Secretarial Studies, Accounting, Management Information Systems (MIS), Marketing. Provides clerical support to a Department Head Scope includes routine clerical tasks Maintains Department timekeeping and filing systems, initiates employee actions, expense reimbursements, leave processing, vendor payments, gate passes and other miscellaneous system related tasks Types reports, letters and other routine correspondence, and takes dictation and minutes as required Manages diary, schedules meetings and appointments, and handles travel arrangements Screens and directs telephone calls and visitors accordingly, and handles requests and queries appropriately Receives and distributes incoming mail / correspondence Acts as point of contact for document review, editing and formatting Operates office equipment, and maintains office systems and procedures Acts as point of contact between the Director and direct reports, as well as other internal/external contacts, orders and manages office supplies, and performs other duties as requested by the Department Head

Location: Dubai, United Arab Emirates We are seeking a skilled Plumbing Engineer to design, review, and supervise plumbing and drainage systems for residential, commercial, and industrial projects. The candidate will ensure compliance with local codes, project specifications, and safety standards while coordinating with MEP teams, consultants, and contractors. Key Responsibilities: Design plumbing, drainage, and water supply systems Prepare drawings, calculations, and technical specifications Review shop drawings and material submittals Coordinate with architects, MEP engineers, and site teams Monitor installation, testing, and commissioning activities Ensure compliance with local regulations and project standards Support project execution and resolve technical issues onsite Requirements Bachelor’s degree in Mechanical/Plumbing Engineering or related field 3+ years of relevant experience Knowledge of plumbing codes and MEP systems Proficiency in AutoCAD/Revit and MS Office Strong coordination and problem-solving skills Benefits Competitive salary; Official UAE employment status; Comprehensive medical insurance coverage;

Location: Chicago, NYC, Dallas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are A collaborative and strategic leader with deep hands-on experience in Site Reliability Engineering (SRE) and infrastructure Automation. You are comfortable steering the vision for an enterprise automation roadmap while remaining technical enough to dive into the code. You treat infrastructure as a product, ensuring that your automation workflows are as reliable as the services they deploy. You have a proven track record of managing complex hybrid environments and are proactive in building self-service platforms that enhance engineering velocity and system stability. Responsibilities Automation Platform Leadership : Oversee a specialized SRE team focused on the design, deployment, and maintenance of automation toolsets as well as the systems they interact with. Infrastructure as Code (IaC) Governance : Establish and enforce standards for IaC to ensure consistent, repeatable, and secure deployments across an entire infrastructure ecosystem. Strong proficiency in Terraform is required. Configuration Management : Lead the strategy for automated configuration and state management, ensuring Ansible playbooks and Packer image pipelines are optimized for both Windows, Linux, and ESXi Platforms. Monitoring & Observability : Manage the monitoring and health of the automation platforms themselves. Implement SLIs/SLOs to ensure the "tools that build the servers" are highly available and performant. Lifecycle Management : Drive the automated lifecycle of both physical and virtual assets, from initial template creation/deployment to automated patching, scaling, and decommissioning. Custom Tooling & Scripting : Lead the development of custom scripts and internal providers (Python, Go, PowerShell, Bash) to provide better insights and tooling for our systems. Collaboration: Outside of the automation team you will need to be able to collaborate and foster workflows alongside the rest of the Datacenter team and be able to facilitate needs for the team as a whole. Capacity & Performance : Analyze system behavior and resource utilization in virtual environments to optimize the performance of automated deployments. Mentorship & Growth : Provide technical guidance and career mentorship to SREs, fostering a culture of "automate-first" and continuous improvement. Requirements 6-10 years’ experience in Infrastructure, SRE or DevOps, specifically focused on infrastructure automation at scale. Deep proficiency with Terraform (providers, modules, state management) and Ansible (roles, playbooks, Tower/AWX). Hands-on experience with Image Creation (i.e. Packer, Ansible, SCCM) to build standardized, hardened images for both Windows and Linux in hybrid environments. Strong experience managing and automating virtual platforms such as VMware (vSphere/vCenter) as well as Cloud providers such as Azure and AWS. High-level scripting skills in mediums such as Python, Go, PowerShell, and Bash. Experience with observability tools (Splunk, ELK, Prometheus, or Grafana) to monitor infrastructure health and automation telemetry. Good understanding of Network topology and design as well as experience with platforms such as Juniper Networks or Palo Alto. Strong mastery of Git (branching strategies, PR workflows) and CI/CD platforms (Jenkins, GitLab CI, or GitHub Actions). Equal comfort managing, troubleshooting, and tuning performance for both Windows Server and Linux. Nice to Have Previous work experience includes notable periods of team leadership and or management. Experience with IAM platforms such as Entra ID, Active Directory, and Okta. Experience with Storage solutions both block based and object based hosted either on-prem (HP Alletra, EMC, DDN) or in cloud (S3, Azure Blob). Storage Backup/DR administration and management with Commvault or Veeam. What We Offer: Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (14) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Constanta Workplace: remote CSM Romania is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATION Overall, in charge of engine room operations and maintenance of all machinery. Ensure safe, efficient operation of main engine, auxiliaries, and electrical systems. Plan and execute preventive maintenance and repairs. Monitor fuel consumption, lube oil, and engine performance. Lead and manage engine crew, assign duties, and conduct training. Ensure compliance with safety, environmental, and regulatory requirements. Experience in repairs and dry docking is required. Holder of a valid COC (STWC Reg III/2) with verification. Holder of valid STCW certifications required for the position. Experience with a multicultural working environment. Good communication and leadership skills. Fluent in the written and spoken English language. Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 12 months in rank with Engine type (4 stroke). Experience on Electronic engines is preferred.   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 month]  Contract Benefit: competitive salary Terms and condition as per CBA applicable 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 Group Family.

Location: Constanta Workplace: remote CSM Romania is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATION Responsible for the proper operation and maintenance of the engine room and other machinery equipment. Assist the Chief Engineer in managing daily engine room operations. Supervise maintenance and repair of main engine, auxiliaries, and machinery. Plan and execute preventive maintenance schedules. Monitor fuel, lube oil, and machinery performance. Lead engine room watchkeeping and manage engine crew. Ensure safety, pollution prevention, and compliance with regulations. Holder of a valid COC (STCW Reg III/2) with verification. Holder of valid STCW certifications required for the position. Experience in repairs and dry docking is required. Experience with a multicultural working environment. Good communication and leadership skills. Effective English communication. Safety culture and mindset.     VESSEL'S SPECIFIC REQUIREMENTS   Minimum Experience in Rank 12 months with Engine type (4 stroke). Experience on Electronic engines (RT Flex - ME) is preferred.   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 Group Family.

Location: Bucharest, Romania Blue Projects is looking for a skilled Electrical Design Engineer, with strong electrical background, and experienced in using 3D programs as Revit and AutoCAD. Eagerness to learn and expand its knowledge is also a key point. Requirements: •      Bachelor’s degree in electrical engineering or equivalent •             Minimum 5 years’ experience in electrical systems design •             Good English speaking and writing skills is mandatory •             Modelling skills for main electrical plant, electrical panels cabling and detailing •             Experience with multidisciplinary coordination •             Proficient in the use of 2D and 3D CAD systems such as Revit and AutoCAD •             Solid understanding of electrical systems •             Solid knowledge of the Romanian and European norms and regulations •             Solid knowledge in existing electrical systems and equipment •             Able to propose new and innovative solutions •             Able to conduct meetings with clients and respond to client’s demands in due time and with comprehensive solutions •             Extra low voltage design diploma is mandatory •             PV panels design or multiline diagram schematic design is a plus •             Strong working knowledge of Microsoft Office and applicable programs •             Solid organizational skills including attention to detail and multi-tasking skills •             Excellent written and verbal communication skills •             Background in designing low voltage and extra low voltage systems for industrial and logistics buildings is mandatory. Responsibilities •             Create systems according to client’s demand and expectations. Propose efficient solutions both in terms of cost and consumption •             Review the project specifications to define requirements. •             Meet with the client or other consultants to gain a clearer understanding of what type of design is needed. •             Determine the basic design for the electrical system. The designer is required to use either a CAD modeling software (Revit) or a 2D design software (AutoCAD) to create a 3D model representation of the system or 2D drawings and incorporate any equipment related to the electrical systems, including all connections and control units. •             Create single-line diagrams using EcoStruxure Power Design •             Coordinate the medium voltage and BMS designer where is necessary •             Create, verify and validate all Material Approval Forms •             Answer any questions or solve any problems that come up during conception, design and installation that are related to his design. •             Coordinate with the rest of the design team (Architectural, Structural and Mechanical) •             Prepare reports, equipment schedules, specifications, etc. •             Prepare schematics, layouts and details according to design requirements. About Blue Projects Blue Projects is a unique multidisciplinary and engineering company with high experience in all industry sectors. Our core services include Project Management, Construction Management, Design & Engineering, Commercial Management and Health & Safety Management. At Blue Projects, we believe that growing a great project management company happens from the inside out. It begins with people who are drawn to work that uses every talent they possess, plus imagination, determination and a drive to do the extraordinary.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Robotics Test Engineer to support software release validation, policy evaluations, and end-to-end metrics collection on our humanoid robots. You will work alongside our Test Team, owning day-to-day execution and growing into deeper HIL and automation responsibilities. This is not a standard web-QA role. You will be running tests on real robots, comparing simulation against reality, and helping us build the data pipeline that tells us whether each new software version is ready to ship. WHAT YOU'LL DO SOFTWARE RELEASE TESTING - Release Validation: Execute the end-to-end test pipeline for each new software release, ensuring quality gates are met before the build is deployed to the fleet. - Regression Coverage: Run automated and manual regression suites against new builds; triage failures and route them to the right owner. - CI/CD Participation: Contribute new tests to our CI/CD pipeline (GitLab CI, GitHub Actions) so that regressions are caught immediately after code merges. 2. POLICY EVALUATIONS - Eval Support: Help design and run policy evaluations for our learned behaviors — defining success criteria, executing trials, and collecting results in a reproducible way. - Simulation: Run policy evaluations in simulation environments (Gazebo, NVIDIA Isaac Sim) in parallel with physical robot tests. - Sim-to-Real: Track differences between simulation and physical robot results and feed findings back to the policy team. 3. E2E METRICS COLLECTION - Metrics Pipeline: Support the collection of end-to-end performance and reliability metrics across releases, building consistent reporting the org can trust. - Dashboards: Help maintain dashboards that highlight pass/fail rates, latency, and performance trends release-over-release. - Data Hygiene: Keep test data clean and well-labeled so that long-term trends remain meaningful as the platform evolves. WHAT WE'RE LOOKING FOR - Experience: 3+ years in software test engineering or test automation, ideally with some exposure to robotics, embedded systems, or another physical-systems domain. - Coding: Strong proficiency in Python for scripting and test automation. Comfortable reading C++. - Robotics Middleware: Working knowledge of ROS2 — you understand topics, services, and how to interact with a running robot. - OS: Comfortable in Linux (Ubuntu) — terminal, shell scripting, basic system administration. - Mindset: Methodical and curious. You enjoy finding the one weird edge case that breaks the build. Nice-to-Have: - Experience with robotics simulators (Gazebo, NVIDIA Isaac Sim, Unity). - Exposure to Hardware-in-the-Loop (HIL) test benches. - Basic electrical debugging skills (multimeter, oscilloscope). - Awareness of safety-critical standards (IEC 61508, ISO 26262). TECH STACK - Languages: Python (primary), C++ (reading), Bash - Robotics: ROS / ROS2 - CI/CD: GitLab / GitHub Actions - Simulation: NVIDIA Isaac Sim - Hardware Interfaces: CAN, EtherCAT, Ethernet WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Hardware Test Engineer to own the test methodology for HMND‑01’s hardware components, robot subsystems, and complete humanoid robots. You will be the engineer who decides what “good” looks like — from a single actuator on the bench to a full robot walking through an integration sequence. This is a hands-on, technical leadership role. You will design test methods, run them yourself on early prototypes, and partner closely with the test automation team, Manufacturing Engineering, Production Operations, and Supply Chain Quality as we move from EVT toward production. You’ll be the hardware voice that shapes what gets measured on the line, at what tolerance, and why — without owning the QC routine or rig build, which sit with Production Ops Quality and Manufacturing Engineering respectively. KEY RESPONSIBILITIES 1. TEST METHOD DEFINITION - Component-Level Methods: Define functional, performance, and stress tests for individual hardware components — actuators, sensors, electronics, structural parts — including pass/fail criteria and required data capture. - Subsystem Testing: Design integration tests for major robot subsystems (arms, hands, legs, torso, head) covering kinematic accuracy, repeatability, load behavior, and thermal response. - Whole-Robot Testing: Define and execute system-level tests for full robot assemblies, including end-to-end motion sequences, balance, manipulation tasks, and failure-mode behavior. 2. HANDS-ON TEST EXECUTION - Prototype Bring-up: Be the first engineer to put hands on each new hardware revision, characterizing performance against design intent and feeding findings back to the design team. - Failure Analysis: Investigate failures during testing, work with hardware engineers to root-cause issues, and verify fixes. - Test Documentation: Capture methods, results, and learnings in a way that the rest of the organization can repeat and trust. 3. AUTOMATION SUPPORT - Test Automation Inputs: Translate manual test methods into specifications for the automation team. Decide which tests can be automated and which must remain manual, and why. - Tooling: Specify and prototype custom test fixtures, jigs, and instrumentation needed to execute your methods reliably during prototype and bring-up work. - Data: Define what each test must capture so that automated runs produce results comparable to your manual baseline. 4. PRODUCTION TEST — IN PARTNERSHIP WITH MANUFACTURING ENGINEERING AND PRODUCTION OPS - Requirements for Line Rigs & Jigs: Provide the technical requirements for production test jigs, fixtures, and test beds — what they measure, at what tolerance, what data they need to capture, and the pass/fail criteria. Manufacturing Engineering owns rig design, build, and commissioning; you review designs and sign off on whether they actually verify what they’re meant to verify. - In-Process Verification: Define the checks at each stage of assembly that confirm components and sub-assemblies have been built correctly before they move to the next station, including required measurements and rework paths for failures. - Test Evidence & Traceability: Define what each production test must capture so that results, measurements, and pass/fail outcomes are written to the production database, linked to the serial number of the unit under test — every shipped robot has a complete and queryable build and test history. - System-Level Acceptance: Define final-product acceptance tests — performance envelopes, functional gates, and sign-off criteria for a robot leaving the line. 5. QUALITY & DESIGN FEEDBACK LOOP — IN PARTNERSHIP WITH SUPPLY CHAIN QUALITY AND PRODUCTION OPS QUALITY - Component Performance Characteristics: Define the system-level performance characteristics that incoming parts must meet. Supply Chain Quality translates these into incoming inspection criteria and supplier qualification plans, and runs the inspection process. - Root-Cause Partnership: Partner with Production Ops Quality on root-cause analysis when line failures trace back to component behavior or system design, and feed findings back into engineering. - Closed Loop with Design: Treat test data as a closed loop with design — surface trends from production into design reviews so the product gets better, not just the process. QUALIFICATIONS Must-Have: - Experience: 5+ years in hardware test engineering, with hands-on testing of complex electromechanical systems — robotics, automotive, aerospace, or similar. - Test Methodology: Strong grasp of test theory, test design, and pass/fail criteria definition. You can write a test spec that another engineer can execute without follow-up questions. - Mechanical: Solid understanding of mechanical design principles, common core components (gears, bearings, actuators), measurement tools (calipers, micrometers, load cells, encoders), and technical drawings including GD&T basics. - Electrical: Comfortable reading schematics, using a multimeter and oscilloscope, and reasoning about basic power and signal integrity. - Production Fluency: Familiarity with hardware production operations — flow, takt, work instructions, traveler documentation — enough to collaborate effectively with Manufacturing Engineering and Production Ops without trying to own their work. - Tooling: Experience with test and task tracking systems (Jira, X-Ray, TestRail, or similar). - Matrix Operating Style: Comfortable influencing test stations, rigs, and equipment design through clear requirements and tight partnership, not through ownership. - Mindset: Systems thinking — you naturally see how a problem at the component level can manifest as a behavior at the full-robot level. Nice-to-Have: - Robotics experience, especially with serial-link manipulators or legged systems. - Hands-on test rig and fixture design experience (mechanical and/or electrical) — useful for speaking the same language as Manufacturing Engineering on rig requirements. - Python (or similar) for ad-hoc data analysis and lightweight test automation. - CAD (SolidWorks/Fusion/NX) for sketching test fixtures. - Familiarity with ROS2. - Experience with embedded systems and field buses such as CAN or EtherCAT. - Experience with industrial automation equipment (servos, gateways, sensors, PLCs). - Knowledge of statistical quality control fundamentals (SPC, MSA) — for working effectively with Quality on test data interpretation. WHAT YOU'LL BE TESTING - Actuators (motors, gearboxes, encoders, drivers) - Robot manipulators and end-effectors - Legged subsystems and balance behaviors - Power and battery systems - Full humanoid robot assemblies

Location: Worldwide Workplace: hybrid CHIEF ENGINEER: Salary Range Offered: * $10,500 USD – $14,500 USD Per Month (subject to experience and related criteria)   Requirements: * Minimum 12 months on Wartsila RT Flex, MAN B&W ME-B and C * Experience with heavy lift vessels preferred

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Software Test Engineer to own the quality of the software products that live around our robots — the humanoid console, the inference servers infrastructure, and the backend services that connect everything together. This is a software-first role. You will not need to bolt on a HIL bench or wire up sensors. You will be testing APIs, web UIs, distributed services, and the infrastructure that runs our models. You will work closely with backend engineers, frontend developers, and the ML platform team. WHAT YOU'LL DO - Console Testing: Own the quality of the humanoid operator console — front-end behavior, API contracts, edge cases, and the user-facing flows operators rely on. - Inference Infrastructure: Test the inference servers and model-serving stack — latency, throughput, failover, version rollouts. - Backend Services: Validate backend services and their APIs — auth, data pipelines, telemetry, fleet management — including contract testing and integration testing. - Test Automation: Design and implement automated test suites that run in CI/CD; expand coverage as the platform grows. - Quality Strategy: Define test methods, quality criteria, and metrics; participate in shaping the overall testing strategy for the software platform. - Documentation: Document tests in our test tracking system and keep internal documentation accurate. WHAT WE'RE LOOKING FOR - Experience: 4+ years in software testing, with strong experience testing client-server systems (front-end, back-end, APIs). - Test Design: Strong grasp of testing theory and test design techniques — equivalence partitioning, boundary analysis, state-based testing, and similar. - Automation: Hands-on Python for test automation. Familiarity with an API testing framework (pytest + requests, or equivalent). - Linux: Comfortable operating in Linux environments and interacting with services over the terminal. - Version Control: Experience with Git. - CI/CD: Understanding of CI/CD pipelines and how automated tests integrate into them. - Test Tracking: Experience with a test management or task tracking system (Jira, TestRail, or similar). Nice-to-Have: - Front-end test automation (Selenium, Playwright, Cypress). - Performance and load testing (k6, Locust, JMeter). - Containerization (Docker, basic Kubernetes). - Familiarity with ML model serving infrastructure (Triton, TorchServe, etc.) and the kinds of things that can go wrong there. - Knowledge of one other language (JavaScript/TypeScript, Go, or C++). - Awareness of the robotics domain — knowing what a humanoid robot needs from its software stack. TECH STACK - Languages: Python (primary), JavaScript/TypeScript for front-end work - Backend: REST/gRPC APIs, message queues - Infrastructure: Linux, Docker, cloud (AWS/GCP) - Tooling: Git, GitHub/GitLab, test management tooling WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Worldwide Workplace: hybrid SECOND ENGINEER: Salary Range Offered: * $8,500 USD – $11,500 USD Per Month (subject to experience and related criteria) Requirements: * Minimum 8 months on Wartsila RT Flex, MAN B&W ME-B and C * Experience with heavy lift vessels preferred

Location: India; Pakistan; Philippines About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a skilled and innovative Remote AI Engineer with experience in machine learning, large language models (LLMs), and AI application development. You will work closely with product managers, software engineers, and data teams to design intelligent systems, develop AI-powered features, and improve model performance across various applications. This is an exciting opportunity for someone passionate about artificial intelligence, automation, and scalable software development. Key Responsibilities Design, develop, and deploy AI and machine learning models for production environments. Build AI-powered applications using LLMs such as GPT, Claude, Gemini, or open-source models. Create and optimize prompt engineering workflows for generative AI applications. Develop APIs and backend systems that integrate AI services into web and mobile applications. Fine-tune models and improve inference performance, latency, and scalability. Work with structured and unstructured datasets for model training and evaluation. Collaborate with cross-functional teams to translate business needs into AI solutions. Implement vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines. Monitor AI system performance and continuously improve reliability and accuracy. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Requirements 3+ years of experience in software engineering, machine learning, or AI development. Strong proficiency in Python and modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face. Experience working with OpenAI APIs, Anthropic, Gemini, or similar AI platforms. Familiarity with LLMs, RAG architectures, vector databases, and prompt engineering. Experience building REST APIs and scalable backend systems. Knowledge of cloud platforms such as AWS, GCP, or Azure. Understanding of CI/CD pipelines, Docker, and cloud deployment workflows. Strong problem-solving and analytical thinking skills. Excellent communication skills and ability to work independently in a remote environment. Bachelor’s degree in Computer Science, Engineering, AI, Data Science, or related field preferred. Experience deploying AI agents or autonomous workflows. Familiarity with MLOps tools and AI monitoring systems. Experience with Pinecone, Weaviate, FAISS, or ChromaDB. Knowledge of frontend frameworks such as React or Next.js is a plus. Previous experience in SaaS or startup environments. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: United Kingdom; Canada; United States About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives. This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment. Key Responsibilities Design, build, and deploy AI/ML models for real-world applications. Develop and optimize AI-powered features using modern frameworks and APIs. Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives. Build AI pipelines for data processing, training, inference, and monitoring. Collaborate with cross-functional teams to translate business needs into AI solutions. Integrate AI services into web applications, SaaS platforms, and internal tools. Fine-tune and evaluate machine learning models for performance and scalability. Maintain documentation and ensure AI systems follow security and compliance best practices. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Requirements 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role. Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Experience working with LLMs, generative AI, prompt engineering, or AI agents . Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG). Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud. Understanding of APIs, microservices, and backend development. Experience with Docker, Git, and CI/CD workflows. Strong analytical and problem-solving skills. Excellent communication skills and ability to work remotely with global teams. Bachelor’s degree in Computer Science, AI, Data Science, or related field preferred. Experience with AI automation tools and agent frameworks. Knowledge of MLOps and model monitoring tools. Familiarity with NLP, computer vision, or recommendation systems. Experience building AI SaaS products or chatbots. Exposure to FastAPI, Node.js, or React-based applications. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team