Position Overview
ROLE & RESPONSIBILITIES: - Responsibilities include:
- Build enterprise grade AI/ML systems (LLMs, RAG, multi agent automation, vision/NLP models)
- Develop retrieval pipelines, embedding strategies, semantic indexes & vector search
- Build and maintain cloud native AI workflows using AWS (SageMaker, Lambda, EMR, Step Functions)
- Lead PoCs, architecture designs, and collaborate with global stakeholders
- Implement MLOps pipelines & model monitoring (drift detection, auto retraining)
- Ensure security alignment, model governance, responsible AI practices
- Document designs, decisions, evaluations, and solution patterns
- Support Agile ceremonies, sprint planning, backlog refinement and cross team collaboration.
QUALIFICATIONS/EXPERIENCE :
- Relevant IT / Engineering / Computer Science / Data Science Degree
- Preferred Certifications:
- AWS ML Specia...