{"id":31151,"url":"https://alion.io/job/continental-senior-ml-ops-engineer","title":"(Senior) ML Ops Engineer","company":{"id":3771,"name":"Continental","domain":"continental.com","url":"https://alion.io/company/continental","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":64,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Braga, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":89000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Kanban","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-28T11:21:28Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-10-21T06:07:12Z","board_verified":true,"closed_at":null,"days_open":84,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":84},"description":"Continental is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €39.7 billion in 2024 and currently employs around 95,000 people in 54 countries and markets.\nTire solutions from the Tires group sector make mobility safer, smarter, and more sustainable. Its premium portfolio encompasses car, truck, bus, two-wheel, and specialty tires as well as smart solutions and services for fleets and tire retailers. Continental has been delivering top performance for more than 150 years and is one of the world’s largest tire manufacturers. In fiscal 2024, the Tires group sector generated sales of 13.9 billion euros. Continental's tire division employs more than 57,000 people worldwide and has 20 production and 16 development sites.\n Join Continental’s Digital Solutions Department as a MLOps Engineer\nIn Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As a MLOps Engineer, you will be at the forefront of transforming machine learning into scalable, production-ready solutions.\nYou will design, deploy, and maintain robust ML pipelines, ensuring seamless integration of models into production environments and optimizing their performance at scale. Working closely with Data Scientists, Data Engineers, and cross-functional teams, you will enable AI-driven insights that power smarter, safer, and more efficient mobility worldwide.\nMain responsibilities:\nDesign and manage CI/CD pipelines for ML models from development to production;\nBuild and maintain scalable ML infrastructure on cloud platforms using infrastructure-as-code;\nAutomate deployment, monitoring, and rollback processes for reliability and reproducibility;\nImplement monitoring and feedback loops for model performance and continuous improvement;\nCollaborate with data scientists and engineers to integrate ML models and standardize workflows;\nProvide technical leadership and mentorship, fostering knowledge sharing and best practices.\n Academic degree in Computer Science, IT, Engineering, Mathematics, or related field;\n>3 years of professional experience as a MLOps Engineer;\nStrong programming skills in Python and SQL;\nExpertise in CI/CD and automation tools (e.g., GitHub Actions);\nProficiency in containerization and orchestration (Docker, Kubernetes);\nHands-on experience with ML model deployment and lifecycle management (MLflow, SageMaker);\nGood knowledge of cloud platforms (AWS or Azure) and infrastructure-as-code practices;\nFamiliarity with monitoring and performance tracking tools (Grafana) and workflow orchestration (Airflow);\nSolid understanding of software engineering and DevOps practices (testing, GitOps, CI/CD design patterns);\nExperience with Agile project management methods (Scrum, Kanban);\nExperience working in an international team (desirable);\nProficient English language skills (spoken / written).\n Our offer:\nIntegration in a challenging and international work environment;\nFlexible working model;\nAgile and collaborative working style;\nContinuous opportunities for personal development and learning.\nWe are committed to fostering a workplace where everyone feels safe, respected, and valued. All kind of applications are welcome.\nReady to drive with Continental? Take the first step and fill in the online application.","description_format":"text","description_chars":3354,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Plastics & Polymers","Automotive Components"],"lifecycle":[{"event":"open","at":"2026-07-28T11:21:28Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.38,"p_room":0.28,"age_days":84,"expected_fill_days":35,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/continental-senior-ml-ops-engineer","json_url":"https://alion.io/job/continental-senior-ml-ops-engineer.json","meta":{"generated_at":"2026-10-21T06:53:07Z","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":9717,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":3771},"rest":"https://alion.io/mcp/rest/get_company?id=3771"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcontinental-senior-ml-ops-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%2Fcontinental-senior-ml-ops-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%2Fcontinental-senior-ml-ops-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/continental-senior-ml-ops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcontinental-senior-ml-ops-engineer"}]}