We are looking for an experienced and highly skilled Data Scientist with hands-on experience in building and optimizing Gen AI solutions and Agents using foundation models and Python. The candidate should have a deep and broad understanding of data science, strong expertise in Gen AI, prompt development working with state-of-the-art foundation models including Llama, retrieval augmented generation, evaluation of prompts and RAG pipelines, fine tuning.
Design, develop, optimize Gen AI solutions and Agents
· Collaborate and co-develop with high profile customers and partners
· Architect and implement scalable, performant Gen AI pipelines and Agents
· Collaborate with data engineers, analysts, and architects
· Build, test and maintain reusable code and libraries
· Work with watsonx.ai and watsonx.data integrating with watsonx Orchestrate
· Mentor junior data scientists and lead code reviews to ensure best practices
· Troubleshoot and resolve issues in Gen AI solution
Ensure security, governance, and compliance standards are adhered to
- 5+ years of hands-on experience in Data Science including Gen AI
- Proficiency in Python, familiarity with CI/CD pipelines, Git, Jenkins, and automated testing
- Experience building Agents, Langchain, LangGraph, cloud platforms such as AWS, Azure, or GCP
- Strong problem-solving skills, ability to work independently or as part of a team.
- Fast learning with ability to quickly adopt new approaches and technologies
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- Experience with watsonx.ai, Llama, Vector DBs, Elastic Search, data lake and Lakehouse architectures
- Contributions to open-source projects are a plus.
- Excellent communication and leadership skills