{"id":3744103,"url":"https://alion.io/job/tekwissen-aiml-engineer","title":"AI/ML Engineer","company":{"id":3800775,"name":"Tekwissen","domain":"tekwissen.com","url":"https://alion.io/company/tekwissen","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Woonsocket, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"HIPAA","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"closed","first_seen_at":"2026-11-04T11:44:26Z","employer_posted_date":null,"last_verified_at":"2026-11-04T18:20:00Z","board_verified":false,"closed_at":"2026-11-04T18:20:00Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"TekWissen is recruiting an AI/ML Engineer for an unnamed client. The role designs, develops, and deploys AI/ML solutions across healthcare, pharmacy, and digital health platforms, supporting operational improvement, patient experiences, claims processing, and predictive analytics.\n\nResponsibilities\nDesign, develop, and deploy machine learning models for healthcare and pharmacy applications\nDevelop predictive analytics solutions for healthcare operations, claims, and patient engagement\nBuild AI-powered applications using Python, TensorFlow, PyTorch, and Scikit-learn\nDevelop Generative AI applications using LLMs and prompt engineering\nImplement RAG pipelines, vector databases, embeddings, and AI-powered search solutions\nProcess and analyze large healthcare datasets using Python, SQL, and cloud data platforms\nBuild and maintain scalable AI services and REST APIs\nDevelop model training, deployment, monitoring, and MLOps pipelines\nCollaborate with data engineers, software developers, healthcare stakeholders, and product teams\nEnsure compliance with HIPAA, healthcare data privacy, security, and responsible AI standards\n\nSkills\n5–8+ Years of Experience is required\n5+ years of experience in AI/ML engineering, data science, or software development\nStrong programming skills in Python\nExperience with Machine Learning algorithms and statistical modeling\nHands-on experience with TensorFlow, PyTorch, or Scikit-learn\nExperience with Generative AI, LLMs, and prompt engineering\nKnowledge of LangChain, LangGraph, or LlamaIndex\nExperience with RAG, embeddings, and vector databases\nStrong SQL and data processing skills\nExperience with REST APIs and microservices\nCloud experience with AWS, Azure, or GCP\nExperience with Docker, Kubernetes, Git, and CI/CD\nUnderstanding of data privacy and security requirements\nBachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field\nHealthcare, pharmacy, health insurance, or PBM (Pharmacy Benefit Management) experience\nKnowledge of HIPAA, PHI, and PII data protection\nExperience with healthcare claims, prescription data, eligibility, and patient engagement datasets\nExperience with AWS SageMaker, Azure Machine Learning, or Google Vertex AI\nKnowledge of Databricks, Spark, and MLflow\nExperience deploying AI solutions in production healthcare environments\n\nBenefits\nHybrid / onsite, depending on team requirements\n\nCompany Overview\nTekWissen is a global technology, workforce, and business transformation partner helping organizations **build, scale, and optimize for the future**. It was founded in 2009, and is headquartered in Ann Arbor, Michigan, USA, with a workforce of 1001-5000 employees. Its website is http://tekwissen.com.\n\nCompany H1B Sponsorship\nTekWissen ® has a track record of offering H1B sponsorships, with 6 in 2026, 5 in 2025, 18 in 2024, 11 in 2023, 9 in 2022, 16 in 2021, 17 in 2020. 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