{"id":2015555,"url":"https://alion.io/job/one-moment-please-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":1778632,"name":"One moment, please...","domain":"mapp.com","url":"https://alion.io/company/mapp-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"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":["Berlin, Germany","Munich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":79000,"max_usd":171000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:05:14Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-09T22:51:35Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Join Mapp Fashion, a company dedicated to reshaping the future of retail through innovative machine learning solutions. As a Senior Machine Learning Engineer, you will have a significant impact on customer experiences and shopping journeys. You will take ownership of the design, implementation, deployment, and evolution of production machine learning systems, while collaborating closely with Data Scientists. Enjoy benefits such as flexible unlimited vacation, hybrid working, and opportunities for personal and career development.\nMissions\nDesign, implement, deploy, and evolve production machine learning systems, ensuring they are efficient and reliable.\nCollaborate closely with Data Scientists to turn experiments and models into robust production capabilities, enabling rapid iteration.\nMake pragmatic technical decisions around model serving, data flows, observability, testing, and maintainability, while raising engineering standards for ML systems.\nProfil recherché\n - A solid understanding of software architecture, APIs and services, testing, monitoring, and reliable production operations- Strong Python and SQL skills, with experience using Spark or comparable large-scale data processing technologies\n- The ability to evaluate trade-offs between model quality, latency, scalability, complexity, and maintainability\n- A BSc in Computer Science or a related field, or equivalent practical knowledge and professional experience\n- Strong experience building production-grade software and taking ownership of systems beyond the prototype stage\n- The confidence to make technical decisions independently, communicate them clearly, and collaborate closely with Data Scientists and Engineers\n- Tenacity, curiosity, and the ability to quickly learn and apply new technologies and approaches\n- Hands-on experience implementing and deploying machine learning solutions in production\n- Experience with recommender systems, personalization, ranking, or real-time machine learning\n- Experience with computer vision, multimodal ML, or deriving product understanding from image and catalog data\n- Experience designing or operating scalable model-serving infrastructure or ML platform components\n- A track record of mentoring engineers and improving engineering practices across a 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