Description

You design, build, and deploy ML and GenAI solutions for applications like LLM-based search, summarization, and predictive modeling.

Responsibilities

• Develop and maintain ML pipelines using MLflow, Databricks, and AWS Sagemaker.
• Implement APIs and microservices for AI model inference using FastAPI and containerization.
• Integrate foundation models and LLMs (OpenAI, Cohere, Claude, AWS Bedrock) into production workflows.
• Monitor, retrain, and maintain models in production for availability and performance.
• Document processes, model cards, data lineage, and performance reports for governance.

Required Skills

• 5+ years of experience in Machine Learning and GenAI model development.
• Hands-on experience with LLM Ops / MLOps and production deployments.
• Proficiency in FastAPI and building microservice-based model inference.
• Experience managing clinical and healthcare data workflows (Clinical Data Management).
• Experience integrating LLMs and foundation models (OpenAI, Cohere, Claude, AWS Bedrock).
• Skilled in handling structured and unstructured data (CSV, JSON, PDFs, EMRs, clinical reports).
• Proficiency in PySpark, SQL, AWS RDS, and scalable data processing.
• Strong understanding of the AWS Cloud ecosystem.

Key Skills

Education

Any Graduate