{"id":2537427,"url":"https://alion.io/job/intellivo-sr-aimachine-learning-engineer","title":"Sr. AI/Machine Learning Engineer","company":{"id":3909766,"name":"Intellivo","domain":"intellivo.com","url":"https://alion.io/company/intellivo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Function Calling","optional":false},{"name":"H2O.ai","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qwen","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-16T08:17:46Z","board_verified":true,"closed_at":null,"days_open":42,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":42},"description":"Sr. AI/Machine Learning Engineer\nDepartment IT and Programming\nEmployment Type Full-Time, Remote (Memphis, TN candidates preferred for in-office collaboration)\nMinimum Experience Experienced\nRole Summary\nThis is a builder’s role, not a research role. You will write the Python that puts AI models to work on real production problems: reading messy documents and email, resolving entities across systems, enriching records, scoring likelihood, and surfacing signals that were previously invisible.\nWe are looking for an engineer with good working knowledge of transformer architecture and practical experience with foundation models on both sides of the market: open-source models you can host and run, and commercial models you consume through an API. You do not need to have trained one from scratch. You do need to be comfortable calling them, prompting them well, handling their output, and building reliable services around them.\nThe role also spans traditional machine learning. We have a large and interesting data set, and part of the job is finding the modeling opportunities hiding inside it that translate into better recovery outcomes: classification, matching, scoring, and prediction. You will also help with synthetic data approaches where real data is limited or contractually restricted. This is a remote position; candidates in or near Memphis, TN are preferred.\nCore Responsibilities\nWrite clean, production-quality Python that integrates foundation models into automated pipelines and services, similar to our existing document intake, routing, entity resolution, and data enrichment workflows.\nWork with both open-source and commercial foundation models, including prompt design, tool calling, structured output, error and retry handling, and evaluating which model fits a given workload on accuracy, latency, and cost.\nUncover and shape modeling opportunities in our data that lead to stronger recovery outcomes, then build them: classification, entity matching, ranking, and propensity or likelihood scoring.\nDesign, train, evaluate, and deploy machine learning models using standard modeling and automated machine learning platforms.\nBuild retrieval and multi-step model workflows using orchestration frameworks, including state handling and guardrails.\nHelp develop synthetic data approaches where real data is sparse, sensitive, or contractually restricted, including generation strategy and validating that the synthetic data actually improves model performance.\nSupport the machine learning operations layer: training and inference pipelines, model versioning, deployment automation, and monitoring for drift and performance.\nIntegrate models into production applications and workflows through APIs and services, so models land in the product rather than in a notebook.\nBuild practical evaluation into everything you ship: test sets, before-and-after comparisons, human review where it matters, and honest reporting of failure modes.\nOptimize models and services for performance, scalability, and cost, including inference and token consumption.\nSpot opportunities in the data while organizing chaos and cutting through noise, and speak up when the right answer is something simpler than a model.\nFollow responsible AI and data handling practice: PHI protection, access controls, model documentation, and traceability of what a model was trained on.\nQualifications\nExperience\n5+ years in machine learning, data science, or data engineering, including experience putting models into production use.\nStrong proficiency in Python and SQL. You should be comfortable writing and maintaining the integration code yourself.\nGood working knowledge of transformer architecture and how modern foundation models behave.\nPractical experience with both open-source and commercial foundation models, such as Llama, Mistral, or Qwen alongside Anthropic Claude or OpenAI, including prompt design, tool use, and structured output.\nExperience with supervised learning tooling such as SageMaker, H2O, scikit-learn, XGBoost, TensorFlow, or PyTorch.\nExperience with LangChain and LangGraph, or a comparable framework for multi-step model workflows.\nExposure to synthetic data generation approaches and how to validate them.\nWorking knowledge of Microsoft Azure for deploying and operating machine learning workloads (Azure ML, Azure AI Foundry, Azure OpenAI, or equivalent).\nFamiliarity with model evaluation, vector stores, and retrieval-augmented generation patterns.\nKnowledge of healthcare and insurance data is strongly preferred.\nRequired Competencies\nComfort across both traditional machine learning and generative AI, with the judgment to know which problem calls for which.\nSolid engineering habits: version control, testing, code review, reproducibility, and documentation.\nCost awareness in model selection and design, including token and inference spend.\nAnalytical rigor and critical thinking when facing ambiguous, messy, real-world data.\nClear communication of model behavior, limitations, and results to both technical and business audiences.\nSelf-starter with a track record of achievement who will roll up sleeves to tackle hard projects.\nEducation\nMasters preferred, Bachelors required in Computer Science, Statistics, Mathematics, Engineering, a related technical field, or equivalent experience.\nLicense/Certification\nAzure AI or data science certification (e.g., AI-102 or DP-100) preferred.\nAWS Machine Learning certification a plus.\nPreferred\nDeeper experience with healthcare, insurance, or claims data in a regulated, high-compliance environment.\nExperience with entity resolution, record linkage, or fuzzy matching.\nExperience with document intelligence, OCR, or information extraction from unstructured text and email.\nContributions to open-source machine learning projects.\nLocated in or near Memphis, TN.\nWho is Intellivo?\nAs an industry market leader in subrogation, Intellivo empowers health plans and insurers to maximize financial outcomes by identifying and pursuing more reimbursement opportunities from alternative third-party liability (TPL) payers. Through innovative technology, Intellivo accelerates the identification of reimbursement opportunities while eliminating burdensome outreach to plan members. With a 26-year history of excellence, Intellivo proudly represents more than 200 of the country’s largest health plans.\nWe are Intellivators - forward-thinking pioneers building the technologies that Fortune 500 employers, health plans, TPAs, providers, and billing organizations rely on to ensure responsible claim payments. Fueled by our experience and innovative startup mentality, we are growing fast.\nBenefits That Support You Inside and Outside of Work\nComprehensive medical, dental, and vision insurance\n401(k) retirement savings plan with employer match\nPaid time off and paid holidays\nCompany-paid life insurance and short-term and long-term disability coverage\nEmployee Assistance Program with counseling, financial coaching, legal resources, career coaching, and wellness support\nHealth Savings Account with company contributions for eligible employees\nWellness, healthcare advocacy, and pet benefits\nA high-performing, collaborative culture built on ownership, accountability, continuous improvement, and meaningful impact","description_format":"text","description_chars":7286,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-10-14T14:40:04Z"}],"visa":[],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.582,"p_room":0.45,"age_days":42,"expected_fill_days":24,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/intellivo-sr-aimachine-learning-engineer","json_url":"https://alion.io/job/intellivo-sr-aimachine-learning-engineer.json","meta":{"generated_at":"2026-10-16T10:06:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3909766},"rest":"https://alion.io/mcp/rest/get_company?id=3909766"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintellivo-sr-aimachine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fintellivo-sr-aimachine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fintellivo-sr-aimachine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/intellivo-sr-aimachine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintellivo-sr-aimachine-learning-engineer"}]}