{"id":3134823,"url":"https://alion.io/job/mindtrace-machine-learning-engineer","title":"MACHINE LEARNING ENGINEER","company":{"id":28622,"name":"Mindtrace","domain":"mindtrace.ai","url":"https://alion.io/company/mindtrace","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","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":"2026-10-28T05:59:10Z"}},"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":[],"countries":[],"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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transfer Learning","optional":false}],"status":"live","first_seen_at":"2025-09-22T19:51:38Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-28T17:18:58Z","board_verified":true,"closed_at":null,"days_open":401,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":400},"description":"ABOUT US:\nWe are an AI-focused Series A startup led by experienced entrepreneurs and supported by leading VC investors. We are building brain-inspired intelligent systems that help manufacturers modernize their defect detection processes. Our proprietary Vision AI technology can create custom AI models using only a few training images.\nYou will join the company at the most exciting time when we are scaling up and getting traction with customers so you will be able to see your hard work deployed in the real world.\nApplicants for this role ideally already reside in Western Michigan.\nROLE:\nWe are looking for talented Field Machine Learning Engineers to pioneer our next wave of AI-driven solutions. In this role, you will focus on deploying, monitoring, and maintaining machine learning models and image gathering hardware directly in operational environments, specifically within the realms of industrial manufacturing.\nWorking directly with our Engineering team, you will refine models based on real-time data and customer feedback, ensuring optimal performance and scalability. Your expertise will directly influence the continuous improvement and deployment of our AI Brains in field settings.\nWHAT DO WE OFFER?\nCompetitive salary and compensation package\nGenerous vacation policy\nHybrid working environment - home and client site\nSignificant growth opportunities within an early-stage startup\nWHAT WE ARE LOOKING FOR?\nMaster’s degree in Engineering, Computer Science, or a related technical field.\n3+ years of experience in deploying machine learning models in field environments, preferably within manufacturing and/or automotive sectors.\nProgramming skills in Python and familiarity with cloud-based and edge computing environments.\nProficient in machine learning frameworks like TensorFlow or PyTorch.\nExperience with real-time system monitoring and model performance tuning.\nIndependent work style coupled with the ability to communicate complex data and methods effectively across different teams.\nWorking knowledge within AWS, GCP & Azure cloud environments.\nWillingness to drive and work at various client locations as needed.\nBonus: Familiarity with few shot learning and transfer learning techniques as well as model optimization.\nWe are an equal opportunity employer. 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