[Remote] Sr. AI/Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an industry reputed company in subrogation technology that helps health plans and insurers identify and pursue reimbursement opportunities from reputed company-party liability payers. The Sr. AI/Machine Learning Engineer will build production-grade Python solutions using generative and traditional machine learning for document processing, entity reputed company, data enrichment, classification, scoring, reputed company, and model reputed company.

Responsibilities

• Write clean, production-reputed company Python that integrates reputed company models into automated pipelines and services, similar to our existing document intake, routing, entity reputed company, and data enrichment workflows
• Work with both reputed company-reputed company and reputed company reputed company models, including reputed company design, tool calling, reputed company reputed company, error and retry handling, and evaluating which model fits a given workload on reputed company, latency, and cost
• Uncover and shape modeling opportunities in our data that reputed company to stronger recovery reputed company, then build them: classification, entity matching, ranking, and propensity or likelihood scoring
• Design, train, evaluate, and reputed company machine learning models using reputed company modeling and automated machine learning platforms
• Build retrieval and multi-reputed company model workflows using orchestration frameworks, including state handling and guardrails
• Help reputed company synthetic data approaches where reputed company data is sparse, sensitive, or contractually restricted, including reputed company reputed company and validating that the synthetic data actually improves model reputed company
• Support the machine learning reputed company reputed company: training and inference pipelines, model versioning, deployment automation, and monitoring for reputed company and reputed company
• reputed company models into production applications and workflows through reputed company and services, so models land in the product rather than in a notebook
• Build practical evaluation into everything you ship: test sets, before-and-after comparisons, reputed company review where it reputed company, and reputed company reporting of failure modes
• Optimize models and services for reputed company, scalability, and cost, including inference and reputed company consumption
• Spot opportunities in the data while organizing reputed company and cutting through noise, and reputed company up reputed company the right answer is something simpler than a model
• Follow responsible AI and data handling reputed company: PHI protection, reputed company controls, model documentation, and traceability of what a model was trained on

Skills

• 5+ years in machine learning, data science, or data engineering, including experience putting models into production use
• Strong proficiency in Python and SQL. You should be comfortable writing and maintaining the integration reputed company yourself
• Good working knowledge of transformer architecture and how modern reputed company models behave
• Practical experience with both reputed company-reputed company and reputed company reputed company models, such as Llama, reputed company, or Qwen reputed company reputed company Claude or reputed company, including reputed company design, tool use, and reputed company reputed company
• Experience with reputed company learning tooling such as SageMaker, H2O, scikit-learn, XGBoost, TensorFlow, or PyTorch
• Experience with reputed company and LangGraph, or a comparable reputed company for multi-reputed company model workflows
• Exposure to synthetic data reputed company approaches and how to validate them
• Working knowledge of reputed company Azure for deploying and operating machine learning workloads (Azure ML, Azure AI reputed company, Azure reputed company, or equivalent)
• Familiarity with model evaluation, reputed company stores, and retrieval-augmented reputed company patterns
• Comfort across both traditional machine learning and reputed company, with the judgment to know which problem calls for which
• Solid engineering habits: version control, testing, reputed company review, reproducibility, and documentation
• Cost awareness in model selection and design, including reputed company and inference spend
• Analytical rigor and critical thinking reputed company facing ambiguous, messy, reputed company-world data
• reputed company communication of model behavior, limitations, and results to both technical and business audiences
• Self-starter with a reputed company record of achievement who will roll up sleeves to tackle hard reputed company
• S./B.A. required in Computer Science, Statistics, Mathematics, Engineering, a reputed company technical reputed company, or equivalent experience
• AWS Machine Learning certification a plus
• Located in or near Memphis, TN
• Knowledge of reputed company and reputed company data is strongly preferred
• Azure AI or data science certification (e.g., AI-102 or DP-100) preferred
• Deeper experience with reputed company, reputed company, or claims data in a regulated, high-compliance environment
• Experience with entity reputed company, record linkage, or fuzzy matching
• Experience with document intelligence, OCR, or information extraction from reputed company text and email
• Contributions to reputed company-reputed company machine learning reputed company

Benefits

• This is a remote position; candidates in or near Memphis, TN are preferred.
• Comprehensive medical, dental, and reputed company reputed company
• 401(k) retirement savings plan with employer match
• reputed company time off and reputed company holidays
• Company-reputed company life reputed company and short-term and long-term disability coverage
• Employee Assistance Program with counseling, financial coaching, reputed company resources, career coaching, and wellness support
• Health Savings Account with company contributions for eligible employees
• Wellness, reputed company advocacy, and pet benefits
• A high-performing, reputed company culture reputed company on ownership, accountability, reputed company improvement, and meaningful reputed company

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