FDE AI

Role: AI FDE

What we look for:

• Experience in building Generative AI applications, including RAG, agents, Text2SQL, fine-tuning, and deploying LLMs, using tools such as HuggingFace, Langchain, and OpenAI
• 5+ years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, MLflow, scikit-learn, and PyTorch
• Experience in building production-grade ML or GenAI deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (Computer Science, Engineering Statistics, Operations Research, etc.) or equivalent practical experience
• Experience in communicating and teaching technical concepts to both non-technical and technical audiences
• Passion for collaboration, life-long learning, and driving business value through ML
• Preferred - Experience working with Databricks and Apache Spark

The impact you will have:

• Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation
• Help customers solve tough problems across industries like Health and Life Sciences, Finance, Retail, Startups, and many others
• Build, scale, and optimize customer data science workloads across industries and apply best-in-class MLOps to productionize these workloads
• Advise data teams on data science architecture, tooling, and best practices
• Provide thought leadership by presenting at conferences such as Data+AI Summit and mentoring the larger ML Team
• Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap