{"id":2438696,"url":"https://alion.io/job/grid-dynamics-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":1625,"name":"Grid Dynamics","domain":"griddynamics.com","url":"https://alion.io/company/grid-dynamics-poland","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland","Wrocław, Poland","Kraków, Poland","Gdańsk, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":110000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"DVC","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Triton","optional":false}],"status":"live","first_seen_at":"2026-10-13T08:56:14Z","employer_posted_date":null,"last_verified_at":"2026-10-13T08:56:14Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a Senior MLOps Engineer (Physical AI & Robotics Platform) to join a fast-paced, innovative engineering team building Incarno, Grid Dynamics' Physical AI and robotics platform. In this role, you will build and operate the ML platform powering inference across a fleet of production robots, ensuring models are deployed reliably, efficiently, and at scale across cloud and on-robot edge environments. You will work closely with ML researchers, robotics engineers, computer vision experts, data scientists, and product stakeholders to bridge the gap between model training and production deployment.\nResponsibilities:\nML Platform & Fleet Inference: Build and maintain the ML platform that powers inference pipelines and serves models reliably across a fleet of production robots.\n\nGPU Optimization & Serving: Deploy and optimize ML models on GPUs using NVIDIA Triton to achieve fast, low-latency, and cost-efficient inference.\n\nRelease Process & IaC Ownership: Own the end-to-end release lifecycle for ML workloads, from Infrastructure as Code (Terraform) and CI/CD pipelines (GitHub Actions) to production deployments.\n\nTraining & Fine-Tuning Pipelines: Develop and execute scalable training and fine-tuning pipelines on cloud infrastructure across AWS and GCP.\n\nLifecycle & Dataset Management: Manage datasets, model registries, and experiment tracking using tools like DVC, MLflow, and Kubeflow Pipelines.\n\nCloud Cost Optimization: Maintain strict control over cloud infrastructure costs across AWS and GCP by leveraging spot/preemptible instances and GPU autoscaling.\n\nDeveloper Tooling & Abstractions: Build tools and internal libraries that enable data scientists and robotics engineers to ship models seamlessly without dealing with raw infrastructure.\n\nCross-Functional Collaboration: Partner closely with ML researchers, computer vision specialists, and robotics engineers to transition models from prototype to high-availability production environments.\n\nMin requirements:\nMLOps Experience: Solid foundation in MLOps, with hands-on experience taking machine learning models from training to production deployment.\n\nCore Engineering & Automation: Proficiency in Python, along with working knowledge of Docker, Terraform, and GitHub Actions.\n\nGPU Model Serving: Demonstrated experience serving and optimizing ML models on GPUs using NVIDIA Triton.\n\nML Lifecycle Tooling: Familiarity with ML lifecycle and versioning tools, including MLflow for model registry, DVC for dataset versioning, and Kubeflow Pipelines.\n\nCloud Infrastructure & Autoscaling: Hands-on experience with AWS and/or GCP, including managing spot/preemptible instances and GPU autoscaling.\n\nML CI/CD & Testing: Clear understanding of CI/CD pipelines, Infrastructure as Code (IaC), and automated testing practices tailored for ML workloads.\n\nTraining Pipelines: Familiarity with model fine-tuning techniques and running distributed training pipelines on cloud infrastructure.\n\nWould be a plus:\nEdge & Robotics Experience: Direct exposure to edge deployments or robotics environments.\n\nComputer Vision & Physical AI: Experience deploying CV models or working within Physical AI domain frameworks.\n\nWe offer:\nOpportunity to work on bleeding-edge projects\n\nWork with a highly motivated and dedicated team\n\nCompetitive salary\n\nFlexible schedule\n\nBenefits package - medical insurance, sports\n\nCorporate social events\n\nProfessional development opportunities\n\nWell-equipped office\n\nAbout us:\nGrid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.\nTech stack\nPython\nMLOps\nMLflow\nTerraform","description_format":"text","description_chars":4214,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Health insurance","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software Development","AI Consulting & Integration","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-10-13T11:25:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":38,"reasons":["seen:0","win:early"],"computed_at":"2026-10-14T02:05:27Z"},"pay":null,"html_url":"https://alion.io/job/grid-dynamics-senior-mlops-engineer","json_url":"https://alion.io/job/grid-dynamics-senior-mlops-engineer.json","meta":{"generated_at":"2026-10-14T02:05:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3086,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1625},"rest":"https://alion.io/mcp/rest/get_company?id=1625"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgrid-dynamics-senior-mlops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgrid-dynamics-senior-mlops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgrid-dynamics-senior-mlops-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/grid-dynamics-senior-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgrid-dynamics-senior-mlops-engineer"}]}