Artificial Intelligence/Machine Learning Engineer - IBM Watsonx Platform

Description :

- Design and implement RAG (Retrieval-Augmented Generation) pipelines that integrate foundation models with enterprise data sources to enhance contextual and accurate response generation.

- Build and orchestrate Agentic AI workflows, enabling autonomous, goal-driven LLM interactions through function calling and tool use.

- Fine-tune and evaluate foundation models via Watsonx.ai and Hugging Face integrations, ensuring relevance, safety, and alignment with business objectives.

- Integrate and manage vector databases (e.g., Milvus, FAISS, IBM Vela Vector DB) to power semantic search and contextual retrieval.

- Collaborate with cross-functional teams to gather requirements, define ML-driven KPIs, and translate business objectives into AI-driven solutions.

- Ensure adherence to governance, model explainability, and ethical AI practices using Watsonx.governance.

Mandatory Skills :

- Strong understanding of LLMs (Large Language Models) and foundation model fine-tuning.

- Experience building RAG pipelines and Agentic AI workflows.

- Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and Hugging Face Transformers.

- Familiarity with vector databases (Milvus, FAISS, or IBM Vela Vector DB).

- Knowledge of data governance, MLOps, and model lifecycle management.

Good to Have Skills :

- Understanding of cloud platforms (IBM Cloud, AWS, Azure, or GCP).

- Knowledge of containerization and microservice orchestration (Docker, Kubernetes).