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

Work arrangement
No