Sr. Machine Learning Engineer

Design, build, and deploy ML and GenAI solutions across multiple use cases (e.g., LLM-based search, document summarization, predictive modeling).

• Develop and maintain ML pipelines using MLflow, Databricks, and AWS Sagemaker.
• Implement APIs and microservices for AI model inference using FastAPI and containerization strategies.
• Work with large structured and unstructured datasets (CSV, JSON, PDFs, EMRs, clinical reports).
• Optimize data processing using PySpark, SQL, and RDS (AWS).
• Integrate foundation models and LLMs (e.g., OpenAI, Cohere, Claude, AWS Bedrock) into production workflows.
• Monitor, retrain, and maintain models in production, ensuring high availability, reliability, and performance.
• Collaborate with cross-functional teams (Data Engineering, Cloud, Product) to ensure scalable deployments.