{"id":1874398,"url":"https://alion.io/job/idealo-machine-learning-ops-engineer-personalization-mwd","title":"Machine Learning Ops Engineer - Personalization (m|w|d)","company":{"id":51832,"name":"idealo","domain":"idealo.de","url":"https://alion.io/company/idealo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-07-23T09:36:26Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-10T23:14:22Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"Everyone at idealo bases decisions on data. Our vision is to transform idealo from a transactional price comparison platform into a personalised shopping companion that inspires users throughout their entire product discovery journey.\nTo make this vision a reality, we are looking for a Machine Learning Engineer (m|f|x) who is passionate about building scalable, cloud-native machine learning systems. Working in a cross-functional team alongside Product Managers, UX Designers, Software Engineers and Data Scientists, you will help create personalised experiences that make shopping more relevant, engaging and inspiring for millions of users.\nAbout your new role\nYou will help shape one of idealo's most strategic product initiatives: Personalisation.\nYou will work closely with our Data Scientists throughout the entire machine learning lifecycle. While they focus on developing and validating machine learning models, your focus will be designing the cloud infrastructure, ML pipelines and operational tooling that enable these models to run reliably, scale efficiently and continuously improve in production.\nIn this role, you will:\nBuild and operate scalable machine learning infrastructure on AWS.\n\nDesign, develop and deploy production-ready ML pipelines covering training, inference, monitoring and automated retraining.\n\nBring machine learning models into production for personalized recommendations, discovery feeds, search ranking and related use cases.\n\nBuild cloud-native infrastructure using Infrastructure as Code and modern CI/CD practices.\n\nEnsure the high availability, observability and operational excellence of ML systems.\n\nCollaborate closely with Software Engineers, Data Scientists, Product Managers and UX Designers to continuously improve personalized customer experiences.\n\nRequirements\nSkills & Requirements\nAt least three years of professional experience as a Machine Learning Engineer, Software Engineer or Cloud Engineer, including exposure to production ML systems.\n\nStrong Python programming skills and experience building cloud-native solutions, ideally on AWS.\n\nHands-on experience with Infrastructure as Code, such as Terraform or CDK, as well as CI/CD pipelines.\n\nExperience with ML platforms such as AWS SageMaker or comparable technologies, including deploying, operating and monitoring models in production.\n\nSolid knowledge of machine learning concepts and model evaluation; experience with recommendation systems, search, ranking, vector search or embeddings is a strong plus.\n\nStrong communication and collaboration skills across technical and non-technical teams, with excellent written and spoken English; German is a plus.\n\nAt idealo you can expect\nYou want to further your education? We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching & mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.\n\nAnd what about the office? Our office in the heart of Berlin offers free organic breakfast, excellent free lunch (vegan and vegetarian), as well as free coffee, lemonades and after-work beer, in addition to the \"standard foosball\". It also has a fabulous rooftop terrace with view of the whole of berlin where you can network with colleagues from our group of companies.\n\nIn need of additional support in any areas of your life? We offer free counseling and support in all areas of life (professional, private, family, health, etc.) in cooperation with the pme-Familienservice.\n\nYou want full flexibility on your way to work and beyond? No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!\n\nWant to keep yourself fit? We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.\n\nAnd what else is there? Of course, success must be celebrated! In addition to team events, you can also expect big company events and other moments of organized connection with others in the company and your team throughout the year!","description_format":"text","description_chars":4110,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Company events"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Consumer Electronics","Price Comparison"],"lifecycle":[{"event":"open","at":"2026-10-04T21:49:27Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.376,"p_room":0.28,"age_days":78,"expected_fill_days":19,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/idealo-machine-learning-ops-engineer-personalization-mwd","json_url":"https://alion.io/job/idealo-machine-learning-ops-engineer-personalization-mwd.json","meta":{"generated_at":"2026-10-11T00:04:02Z","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","counted_by":"address","units_charged":1,"used_today":40,"day_limit":5000,"remaining_today":4960,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"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":51832},"rest":"https://alion.io/mcp/rest/get_company?id=51832"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fidealo-machine-learning-ops-engineer-personalization-mwd"},{"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%2Fidealo-machine-learning-ops-engineer-personalization-mwd"},{"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%2Fidealo-machine-learning-ops-engineer-personalization-mwd"},{"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/idealo-machine-learning-ops-engineer-personalization-mwd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fidealo-machine-learning-ops-engineer-personalization-mwd"}]}