Python ML Engineer (LLM Ops) (Remote)
Why This Role Stands Out
This remote Python ML Engineer role offers an exciting opportunity to build and operationalize cutting-edge generative AI systems within the healthcare sector, with strong potential for contract extension and a competitive hourly rate. You'll thrive here if you're passionate about MLOps, Python development, and leveraging Databricks and AWS to create scalable ML pipelines. Apply now to make a significant impact on a leading US healthcare data platform.
Quick Overview
Job Description
We''''re hiring a Python ML Engineer to build and operationalize machine learning and generative AI systems for a US healthcare data platform. You''''ll build production ML pipelines, manage the model lifecycle, and develop NLP solutions on top of Databricks and AWS.
Contract duration: 8+ month contract, extension likely.
Location: Remote (US).
Rate: $45–$50/hr W2, depending on experience.
Start: Immediate.
What You''''ll Do
- Build and deploy ML and LLM applications in Python
- Build scalable ML pipelines on Databricks and AWS
- Handle LLMOps: deployment, monitoring, evaluation, model lifecycle
- Build automated CI/CD pipelines for ML workloads
- Build NLP solutions for structured and unstructured healthcare data
- Develop scalable compute orchestration to bypass processing bottlenecks
Required
- Python, strong hands-on ML engineering background
- Databricks and AWS
- SQL
- NLP experience
- Cluster/job orchestration and scalable compute orchestration
- CI/CD pipeline experience
- Recent, real experience working with healthcare data
Work Authorization
We cannot file a new H1B transfer for this role.
- OPT / OPTcandidates are not eligible
Skills
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