Key Responsibilities: Develop and deploy AI/ML models using the IBM Watsonx tool suite, including Watsonx.ai, Watsonx.data, and Watsonx.governance. Design and implement RAG pipelines that combine foundation models with enterprise data sources to enhance contextual response generation. Build and orchestrate Agentic AI workflows, enabling autonomous and goal-driven interactions using LLMs and function calling. Fine-tune and evaluate foundation models using Watsonx.ai and Hugging Face integration, ensuring relevance, safety, and alignment. Integrate vector databases (e.g., Milvus, FAISS, IBM Vela Vector DB) and embedding models to power semantic search capabilities. Collaborate with cross-functional teams to gather requirements, define ML-driven KPIs, and translate business needs RTH Y - IBMFG2JP00002160
Skills:
Hugging Face,vector databases,LLMs,IBM Watsonx,cross-functional collaboration,RAG pipelines,AI/ML model development,Agentic AI workflows
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