{"id":19883,"url":"https://alion.io/job/synergy-ecp-aiml-engineer","title":"AI/ML Engineer","company":{"id":5649,"name":"Synergy ECP","domain":"synergyecp.com","url":"https://alion.io/company/synergy-ecp","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"D","score":50,"open_postings":44,"ghost_share":0.841,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Annapolis Junction, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-05-07T15:27:55Z","employer_posted_date":"2026-05-07","last_verified_at":"2026-10-26T04:35:23Z","board_verified":true,"closed_at":null,"days_open":171,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":171},"description":"Overview\nWe are looking for AI/ML Engineers to build, deploy, and maintain machine learning models and data-driven systems at scale.\nWhat You’ll Do\nDevelop and train machine learning models\nDeploy models into production environments\nBuild data pipelines and workflows for model training and inference\nCollaborate with software and DevOps teams for integration\nMonitor model performance and optimize over time\nSupport the full ML lifecycle (data → training → deployment → monitoring)\nCore Skills\nPython and ML frameworks (TensorFlow, PyTorch, Scikit-learn)\nExperience with data processing and feature engineering\nUnderstanding of model evaluation and performance tuning\nExperience deploying ML in production environments\nB.S. degree in a technical field and 3+ years of experience\nNice to Have\nMLOps / model lifecycle tools\nCloud ML services (AWS SageMaker, Azure ML)\nExperience with large-scale or real-time systems\nCLEARANCE REQUIRED:\nTS/SCI w/ Polygraph\nOther Requirements:\nU.S. Citizenship\nCompensation Spotlight:\nFor this role, our typical salary range starts at $150,000 and stretches up to $270,000. 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