Sr. Data Scientist / Machine Learning Engineer - GenAI & LLM

Databricks

Databricks, a leader in data and AI solutions, is looking for a Sr. Data Scientist/Machine Learning Engineer to join their Machine Learning Practice team. This team specializes in creating ML solutions for customers, particularly in processing pipelines and large language models. The role is perfect for those passionate about customer collaboration and exploring the latest trends in machine learning.

In this role you can expect to have the responsibilities:

• Develop LLM solutions on customer data, including RAG architectures and natural language queries.
• Build, scale, and optimize data science workloads for production use.
• Advise data teams on architecture, tools, and practices.
• Present at industry conferences.
• Provide mentorship within the ML SME community at Databricks.
• Collaborate with product and engineering teams to influence roadmaps.

This role comes with the following benefits:

• Comprehensive benefits and perks detailed on the company's benefits website.

This role requires you to have:

• Experience with Generative AI applications and deploying LLMs.
• 5+ years in industry data science using tools like pandas, scikit-learn, TensorFlow, PyTorch.
• Experience with machine learning in AWS, Azure, or GCP.
• Graduate degree in a quantitative field or equivalent experience.
• Strong communicator for both technical and non-technical audiences.

You would benefit from having:

• Experience with Databricks and Apache Spark for large-scale data processing.

Databricks is dedicated to diverse hiring and inclusive practices, ensuring equal opportunity for candidates regardless of their background. The company observes all diversity and compliance requirements, potentially impacting job duties involving export-controlled technology.