Applied AIML Data Scientist Lead - Vice President

What you'll do

• Develop GenAI and LLM solutions to solve complex business problems.
• Implement optimization strategies to fine-tune generative models for specific use cases.
• Execute the full model development process including data wrangling, training, testing, and selection.
• Generate and present structured business insights from data analysis to both technical and non-technical audiences.
• Stay informed on AI research to implement cutting-edge techniques and leverage external APIs.
• Design and implement pipelines using RAG and Agentic AI frameworks.
• Integrate user feedback to establish agentic refinement and self-improving AI applications.

What we're looking for

• PhD in Computer Science or a related quantitative discipline with 2+ years of relevant experience.
• MS/BS in Computer Science or a related field with 4+ years of relevant experience.
• Practical expertise with LLM projects and a proven track record of deploying AI/ML applications in production.
• Proficient programming skills in Python and SQL, with experience in R or Java.
• Experience with ML frameworks and APIs such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
• Solid understanding of statistics, machine learning fundamentals, and generative model architectures like Transformers.
• Experience working with engineering teams to operationalize ML models (preferred).
• Expertise in designing and implementing pipelines using RAG and Agentic AI frameworks (preferred).