AI/ML Engineer with Healthcare domain exp

AI/ML Engineer With Healthcare Domain Experience

Location: Remote Duration: 6-12 Months Experience: 5-7 Years Rate: $50/hr (C2C) Without Any Deduction

Seeking AI/ML Engineers with 3–7 years of hands on experience building scalable ML and GenAI solutions.

Candidates must have strong healthcare domain exposure (claims, clinical data, provider/payor workflows). Prior Optum/Health Care Company/Health Care Company experience is highly preferred.

Required Skills

• 3–7 years AI/ML engineering experience.
• Strong skills in Python (PyTorch/TensorFlow), NLP/LLMs/transformers, GenAI tooling, SQL, and data pipelines.
• Experience deploying ML/LLM systems in Azure/AWS/GCP.
• Solid understanding of U.S. healthcare data and compliant solution design (HIPAA, RBAC, audit logging).
• Experience working in MLOps / LLM Ops environments.

Key Responsibilities

• Build and deploy production grade ML, NLP, and LLM/GenAI models.

• Implement modern AI architecture patterns: microservices, feature stores, real time/batch inference, embeddings, and retrieval pipelines.

• Convert functional requirements into scalable AI solutions.

Model Development

• Develop and optimize models for claims automation, fraud detection, risk prediction, provider optimization, and document AI.

• Ensure models meet performance, reliability, and scalability standards.

Data & Integration

• Work with data engineering teams to integrate models with healthcare datasets (claims, EHR, clinical notes, PA/UM workflows).

• Ensure PHI/PII safe, compliant pipelines.

MLOps / Platform

• Implement CI/CD for ML/LLM workloads using MLflow, Vertex, SageMaker, Databricks, Airflow, Argo, and Kubernetes.

• Apply LLM Ops foundations for RAG and GenAI use cases.

Collaboration & Delivery

• Work cross functionally with product, cloud engineering, SMEs, and clinical teams.

• Participate in Agile processes and document reusable patterns and decisions.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.