Job responsibilities-
Required qualifications, capabilities, and skills-
- Master's/Bachelor’s degree in a STEM field and 5+ years of experience in designing and managing large-scale AI & ML platforms and supporting systems.
- Extensive practical experience with AWS cloud services, including EKS, EMR, ECS, and DynamoDB.
- Hands-on experience in Databricks ML lifecycle development.
- Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance.
Preferred qualifications, capabilities and skills-
- Understanding of large language model (LLM) approaches, such as Retrieval-Augmented Generation (RAG) and agent-based models, is a plus.
- Real-time model serving experience with Seldon, Ray, or AWS SM is a plus.