Sr Data Scientist Machine Learning Engineer - GenAI LLM
Sr Data Scientist Machine Learning Engineer - GenAI LLM
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Job Description
CSQ326R77
Mission
The Machine Learning (ML) Practice team is a highly specialized customerfacing ML team at Databricks facing an increasing demand for Large Language Model (LLM)based solutions. We deliver professional services engagements to help our customers build scale and optimize ML pipelines as well as put those pipelines into production. We work crossfunctionally to shape longterm strategic priorities and initiatives alongside engineering product and developer relations as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers teammates and fueling your curiosity for the latest trends in LLMs MLOps and ML more broadly.
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
- Build scale and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains
- Advise data teams on various data science such as architecture tooling and best practices
- Present at conferences such as DataAI Summit
- Provide technical mentorship to the larger ML SME community in Databricks
- Collaborate crossfunctionally with the product and engineering teams to define priorities and influence the product roadmap
What we look for:
- Experience building Generative AI applications including RAG agents text2sql finetuning and deploying LLMs with tools such as HuggingFace Langchain and OpenAI
- Extensive handson industry data science experience leveraging typical machine learning and data science tools including pandas scikitlearn and TensorFlow/PyTorch
- Experience building productiongrade machine learning deployments on AWS Azure or GCP
- Graduate degree in a quantitative discipline (Computer Science Engineering Statistics Operations Research etc. or equivalent practical experience
- Experience communicating and/or teaching technical concepts to nontechnical and technical audiences alike
- Passion for collaboration lifelong learning and driving business value through ML
- Preferred Experience working with Databricks & Apache Spark to process largescale distributed datasets
Required Experience:
Senior IC
Employment Type
Full Time
