{"id":1308728,"url":"https://alion.io/job/alta-ares-mlops-engineer","title":"MLOps Engineer","company":{"id":2199932,"name":"Alta Ares","domain":"altaares.com","url":"https://alion.io/company/altaares","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":159000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":585},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-06-26T07:02:16Z","employer_posted_date":"2026-06-26","last_verified_at":"2026-09-28T20:17:53Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":93},"description":"About Alta Ares\nAlta Ares is an air defense Neoprime. We build AI-guided interceptors to counter drones and cruise missiles, along with the software platform that powers them.\nOur customers are NATO-aligned militaries and defense institutions, and our systems are regularly deployed during live exercises and operational demonstrations across Europe, the Middle East, and Asia.\nFounded in 2024, we have grown to 90 people, raised over $60M, and increased revenue 40× this year. We are now entering a new phase of international expansion, industrial scaling, fundraising, and product development.\nRole & Mission\nAs an MLOps Engineer, you will own the evolution of Gamma Ulixes, the AI product platform powering both our internal development workflows and customer-facing AI capabilities.\nYou will work alongside Machine Learning Engineers, Software Engineers and DevOps Engineers to transform research prototypes into production-ready AI systems.\nBeyond infrastructure, you will help shape the tooling, services and workflows that accelerate the entire machine learning lifecycle, from data ingestion to deployment on operational platforms.\nThis role is ideal for engineers who enjoy building products, automating complex workflows and enabling AI systems to scale reliably.\nYour Responsibilities\nGamma Ulixes AI Platform\nDevelop and improve Gamma Ulixes, our AI platform for training, evaluating and deploying machine learning models.\n\nBuild experiment tracking, model registry and dataset management capabilities.\n\nDesign reproducible ML workflows and automated training pipelines.\n\nDevelop benchmarking, evaluation and model validation services.\n\nML Infrastructure\nDesign scalable infrastructure supporting computer vision and trajectory-based machine learning.\n\nBuild APIs and backend services powering AI workflows.\n\nManage GPU infrastructure, distributed training and resource orchestration.\n\nImprove monitoring, observability and reliability across AI services.\n\nMaintain reproducible development and deployment environments.\n\nDeployment & Edge AI\nBuild CI/CD pipelines for machine learning models.\n\nDeploy AI services across cloud, on-premise and edge environments.\n\nOptimize inference pipelines for Nvidia Jetson and embedded hardware.\n\nManage model packaging, versioning and rollout strategies.\n\nImprove deployment reliability across operational environments.\n\nCollaboration\nWork closely with Machine Learning Engineers to industrialize research workflows.\n\nCollaborate with Software Engineers to integrate AI capabilities into operational products.\n\nHelp define engineering standards, tooling and best practices across the Data & AI team.\n\nContribute to the evolution of Alta Ares' AI platform roadmap.\n\nRequirements\nCandidate Profile\n3-5+ years of experience as an MLOps Engineer, ML Platform Engineer, Software Engineer or Data Engineer working on production machine learning systems.\n\nStrong Python software engineering skills.\n\nExperience designing and operating production-grade ML infrastructure.\n\nSolid understanding of Docker, Linux and containerized environments.\n\nExperience with ML experiment tracking, model registries and reproducible workflows.\n\nExperience designing APIs and backend services supporting AI applications.\n\nFamiliarity with CI/CD, infrastructure automation and cloud-native development.\n\nStrong ownership mindset with the ability to drive projects from design to production.\n\nComfortable collaborating across Machine Learning, Software and Infrastructure teams.\n\nSkills & Values\nProduct Ownership\nBuild products, not just infrastructure.\n\nFocus on developer experience and operational excellence.\n\nDeliver solutions that scale across teams and customers.\n\nPlatform Engineering\nDesign reliable, maintainable and observable AI systems.\n\nAutomate repetitive workflows.\n\nContinuously improve engineering productivity.\n\nExecution & Autonomy\nComfortable taking ownership of complex technical projects.\n\nPragmatic, impact-driven and hands-on.\n\nThrive in fast-moving environments with high technical standards.\n\nCollaboration\nWork effectively across AI, Software and Infrastructure teams.\n\nCommunicate clearly and document engineering decisions.\n\nContribute to a strong engineering culture built around quality and continuous improvement.","description_format":"text","description_chars":4269,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Military","Air Defense"],"lifecycle":[{"event":"open","at":"2026-09-26T15:16:35Z"}],"liveness":{"score":10,"band":"cold","label":"Long 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