{"id":104985,"url":"https://alion.io/job/civitta-ml-ops-engineer","title":"ML Ops Engineer","company":{"id":16271,"name":"Civitta","domain":"civitta.com","url":"https://alion.io/company/civitta","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":77,"open_postings":34,"ghost_share":0.294,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":153,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Germany","Czech Republic","Hungary","Poland","Estonia","Lithuania"],"countries":["DE","CZ","HU","PL","EE","LT"],"hiring_countries":["DE","FR","AT","BE","BG","HR","CY","CZ","DK","FI","HU","IE","IT","NL","PL","RO","ES","SE","EE","GR","LV","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":27,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":109000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"VPN","optional":false}],"status":"live","first_seen_at":"2025-05-15T10:53:00Z","employer_posted_date":"2025-05-15","last_verified_at":"2026-10-17T19:39:12Z","board_verified":true,"closed_at":null,"days_open":520,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":519},"description":"Join Civitta - an international company with 750+ colleagues across 20+ countries. We focus on management consulting, funding, and digital solutions. Originating from Central and Eastern Europe, we also deliver projects across Central Asia, the Middle East, and the United States.\nHelp businesses turn strategy into digital solutions: from AI-powered marketing to data-driven products and custom software. We combine business thinking with technical execution. Every day, you might build an e-commerce platform using predictive analytics, design a high-impact digital campaign, or develop a data-driven product that drives measurable results.\nTake a step towards your journey with us and join us as an ML Ops Engineer in the EU!\nWe are looking for an ML Ops Engineer to join an international, results-driven team working at the intersection of machine learning, cloud infrastructure, and high-quality software development. You’ll play a key role in taking projects from proof-of-concept to production, writing robust, scalable, and clean Python code.\nPlease note that only applicants residing in EU countries will be considered for this position.\nYou will:\nDesign and implement end-to-end solutions, from prototype to production deployment;\nCollaborate with Data Scientists, Developers, and Analysts across the organization;\nEnsure production-grade quality in every deliverable - performance, security, maintainability;\nBuild and optimize solutions leveraging LLMs, machine learning, and Vector DBs;\nSet up and manage infrastructure on Azure and AWS, including private endpoints and VPN integrations;\nContribute to DevOps workflows to streamline CI/CD, monitoring, and deployment.\nRequirements:\n6+ years of total experience in software development (significant Python expertise);\nBusiness-oriented mindset;\nGood DevOps knowledge;\nSolid experience working with cloud platforms (Azure, AWS);\nFamiliarity with LLMs and ML workflows in production environments;\nExperience with Vector DBs and secure network integrations (VPNs, private endpoints);\nExcellent communication skills and a results-oriented approach to problem-solving.\nBenefits:\nTeam bonding activities - 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