{"id":1367198,"url":"https://alion.io/job/vessel-inc-aiml-engineer","title":"AI/ML Engineer","company":{"id":1795628,"name":"Vessel Inc","domain":"eagle.org","url":"https://alion.io/company/eagle-org","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":136000,"max_usd":292000,"period":"year","method":"role_country_seniority_unknown","sample_n":2391},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"AIOps","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"LLMOps","optional":true},{"name":"NLP","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-18T21:58:33Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-09-28T02:48:35Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"ABS Group is seeking an AI/ML Engineer to join our Artificial Intelligence Practice in support of a major federal modernization program. In this role, you will design, develop, and operationalize machine learning and artificial intelligence solutions that support mission applications and data-driven workflows.\nYou will help bring AI capabilities into production, build supporting pipelines and model operations workflows, and work across data science, engineering, and cloud teams to deliver scalable, secure, and trustworthy AI solutions. The scope of responsibility, degree of technical leadership, and level of independence expected will reflect the level at which this position is filled.\nWhat You Will Do\nDesign, develop, and operate AI and machine learning capabilities for production applications and data workflows\n\nBuild and maintain data and model pipelines that support training, deployment, monitoring, and lifecycle management\n\nPartner with data scientists, developers, and cloud engineers to productionize AI solutions\n\nImplement MLOpsand related engineering practices for model deployment, monitoring, retraining, and version control\n\nSupport generative AI and large language model implementations, including prompt workflows, retrieval-augmented generation, and vector-based retrieval patterns\n\nApply AI/ML to adjacent use cases such as test automation, workflow support, and operational optimization\n\nContribute to CI/CD, observability, and operational support for AI systems in secure environments\n\nSupport responsible AI and model governance practices, including explainability and compliance requirements\n\nDocument architectures, workflows, and engineering standards for project delivery\n\nWhat You Will Need\nLevel and Compensation: This position may be filled at multiple career levels based on business needand the selected candidate's qualifications, relevant experience, and demonstrated capability. Typical leveling for this role is as follows:\nJunior (0 to 4 years)\n\nMid-Level (5 to 9 years)\n\nSenior (10 to 14 years)\n\nPrincipal (15 or more years)\n\nThese ranges are guidelines only and are not the sole determining factor in level. The posted compensation range reflects the full range across all possible levels. Individual offers will be based on the level at which the candidate is hired, as well as factors such as skills, experience, internal equity, and geographic market considerations where applicable.\nEducation and Experience \nBachelor's degree in Computer Science, Data Science, Software Engineering, Engineering, or a related technical field; Master'sdegree preferred\n\nRelevant professional experience in AI engineering, machine learning engineering, or related software engineering roles; the depth and scope of experience required will vary based on the level at which this position is filled\n\nExperience deploying or supporting machine learning and AI systems in production environments preferred\n\nExperience working in cloud-based or hybrid technical environments preferred\n\nKnowledge, Skills, and Abilities \nProficiency in Python\n\nFamiliarity with frameworks such as TensorFlow, PyTorch, and scikit-learn\n\nFamiliarity with MLOps, CI/CD for ML, and model monitoring concepts and practices\n\nExposure to LLMOps, AIOps, RAG, and vector databases\n\nExperience building or supporting data pipelines for AI/ML applications\n\nUnderstanding of software engineering and DevSecOpspractices for production systems\n\nStrong collaboration skills across technical teams and stakeholders\n\nNice to Have\nExperience supporting production ML at scale\n\nExperience with AWS, Azure, or GCP AI/ML services\n\nFamiliarity with federal, public sector, or regulated AI environments\n\nExposure to NLP, classification, survey analytics, or entity resolution use cases\n\nLocation \nThis position is based in the Washington, D.C. metro area, with primary work performed in Suitland, Maryland. Remote or hybrid arrangements may be available for eligible work, subject to government approval.","description_format":"text","description_chars":3994,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Energy & Utilities","Professional Services"],"lifecycle":[{"event":"open","at":"2026-09-28T02:48:35Z"}],"liveness":{"score":69,"band":"ok","label":"Likely open","p_open":1,"p_active":0.733,"p_room":0.945,"age_days":9,"expected_fill_days":21,"reasons":["conf:2","win:mid"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vessel-inc-aiml-engineer","json_url":"https://alion.io/job/vessel-inc-aiml-engineer.json","meta":{"generated_at":"2026-09-28T06:08:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"assistant","counted_by":"address","units_charged":1,"used_today":693,"day_limit":2000,"remaining_today":1307,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}