Note: The job is a remote job and is open to candidates in USA. Digitive is seeking a Python ML Engineer (LLM Ops) to design, build, and operationalize production-grade Machine Learning and Generative AI solutions in the healthcare domain. The ideal candidate will have hands-on experience with Python and LLMOps, along with a strong background in deploying scalable ML pipelines in cloud environments.
Responsibilities
- Design, develop, and deploy production-ready ML and LLM applications using Python
- Build scalable ML pipelines on Databricks and AWS
- Implement LLMOps for model deployment, monitoring, evaluation, and lifecycle management
- Develop cluster and job orchestration for large-scale data processing
- Build automated CI/CD pipelines for ML workloads
- Develop NLP solutions for structured and unstructured healthcare data
- Optimize scalable compute orchestration to improve performance
- Collaborate with architects, data engineers, and QA teams
Skills
- Python
- Machine Learning Engineering (MLE)
- LLMOps
- Databricks
- AWS
- SQL
- Natural Language Processing (NLP)
- CI/CD Pipelines
- Git
- Recent Healthcare domain experience
- PHI/HIPAA-compliant data handling
- HL7 ADT message format knowledge
- MLflow
- Docker & Kubernetes
- FHIR
- Retrieval-Augmented Generation (RAG)
- Vector Databases
Company Overview