• Expertise in AI/ML architecture and enterprise integration.
• Strong knowledge of RAG (Retrieval-Augmented Generation) frameworks.
• Familiarity with IAM, RBAC, and financial services compliance.
• Experience with cloud platforms (AWS, Azure) and containerization.
• Proficiency in Python, TensorFlow/PyTorch.
• Experience with OpenAI/Cohere APIs and local embedding models.
• Knowledge of NLP, semantic search, and multi-turn conversation design.
• Familiarity with CI/CD for ML pipelines.
• Strong backend development (Java, Python, Node.js).
• Experience with vector databases (OpenSearch, Pinecone, Weaviate).
• API development and integration with enterprise systems.
• Knowledge of data security and compliance frameworks.