{"id":3521681,"url":"https://alion.io/job/ailoys-ml-engineer","title":"ML Engineer","company":{"id":692479,"name":"Ailoys","domain":"ailoys.com","url":"https://alion.io/company/ailoys","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","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":68000,"max_usd":155000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Hugging Face","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"PyTorch","optional":true},{"name":"spaCy","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2025-01-13T11:48:16Z","employer_posted_date":"2025-01-13","last_verified_at":"2026-11-03T20:11:00Z","board_verified":true,"closed_at":null,"days_open":659,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":658},"description":"About Us\nAt Ailoys GmbH, we are transforming the manufacturing landscape by integrating advanced technologies like IoT, sensor systems, AI and machine learning. Our mission is to empower manufacturing facilities with smarter processes, improved quality, and enhanced efficiency.\nWe are looking for a Machine Learning (ML) Engineer who will focus on researching appropriate models for automation manufacturing processes.\nIn this role, you will:\nDesign and develop evaluation benchmark.\nDeploy end-to-end evaluation pipelines for in-house and external ML models.\nBe responsible for model selection and comparison with state-of-the-art methods.\nAnalyze evaluation results and propose improvements to data and models.\nRequired Skills and Experience\nExpertise in the evaluation of generative AI methods.\nA good understanding of statistics and data analysis.\nData annotation management.\nPractical Python language skills.\nFamiliarity with frameworks such as NumPy, SciPy, pandas, and Hugging Face Evaluate.\nA minimum of 2-3 years of relevant work experience is required.\nNice to have:\nML frameworks, such as PyTorch, spaCy, and Transformers.\nCI, workflow automation, and experiment tracking systems.\nFamiliarity with the AWS Bedrock\nWhy Join Us?\nA competitive salary that recognizes your skills and contributions.\nWork on cutting-edge technologies in industrial AI, IoT and manufacturing automation.\nBe part of a fast-growing, innovative team with opportunities for professional growth.\nContribute to impactful projects with leading global manufacturing companies.\nIf you are passionate about driving innovation in manufacturing and have the technical expertise to match, we’d love to hear from you!\nHow to Apply\nPlease send your resume and a brief cover letter by pressing \"Apply for this job\" detailing your relevant experience, as well as your salary expectations.\nLet’s build the future of manufacturing 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