{"id":4079524,"url":"https://alion.io/job/bosch-mlops-engineer-fmdiv--2","title":"MLOps Engineer (f/m/div.)","company":{"id":132,"name":"Bosch","domain":"bosch.com","url":"https://alion.io/company/bosch","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":1052,"ghost_share":0,"stale_share":0.991,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Ansible","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-10T09:32:10Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-11-11T16:39:47Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Welcome to Bosch\nAt Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.\nWith over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization.\nBosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers.\nOur teams find fast and efficient solutions for thousands of people on a daily basis - from claim management to life-saving emergency calls, among other services. Define the standards and become a pioneer together with around 9000 associates worldwide.\n MLOps Strategy & Architecture:\nCollaborate on the MLOps strategy for our cloud environment, ensuring alignment with business objectives, security requirements, and best practices.\nCollaborate on the technical design of a MLOps platform that provides a self-service approach to the MLOps loop problems, such as data ingestion, feature engineering, model training, model validation, model deployment, model monitoring.\nDevelop and maintain comprehensive documentation for MLOps processes and infrastructure.\nHybrid ML-loop Implementation:\nDesign and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud resources using Terraform.\nImplement robust security measures to protect sensitive data, ML models, and other artefacts.\nImplement new functionalities while ensuring key non-functional properties of the model development toolchain, particularly reproducibility.\nImplement monitoring dashboards and alerts to proactively identify and resolve MLOps platform issues.\n\nCollaboration & Leadership:\nWork closely with ML engineers, data scientists, software engineers, and infrastructure teams to deliver a high-quality MLOps solution.\nCommunicate effectively with stakeholders at all levels, including technical and non-technical audiences.\nStay up to date with the latest MLOps trends and technologies and adopt new approaches.\nParticipate in code reviews and contribute to the development of best practices\n Education:\nMSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning, or a related field.\nExperience:\n3+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.\nTechnical Skills:\nGood understanding of the ML development process and model life cycle.\nGood understanding of DevOps principles and practices.\nExperience designing, implementing, integrating, and maintaining MLOps solutions or CI/CD pipelines.\nGood scripting and automation skills with Python and Bash.\nExperience with Azure services, and Microsoft Entra ID.\nGood understanding of Terraform, GitHub Actions, and Kubernetes.\nBasic understanding of Ansible.\nExperience with GNU/Linux systems as key development environment.\nSoft Skills:\nExcellent problem-solving skills.\nEffective communication skills, team player, and capable of collaborating across functional areas.\nProactive, customer and result-oriented personality.\nExperience working in Agile/SAFe environments.\nFluent in English, written and spoken.\n What we offer you:\nChallenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.\nSuccess stories don´t just happen. They are made...\nMake it happen! 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