Databricks Sr. Data Science / Sr. Machine Learning Engineer

Summary: The Databricks Sr. Data Science / Sr. Machine Learning Engineer role focuses on enhancing customer data science and machine learning workloads, implementing MLOps best practices, and developing LLM solutions. The position requires advising data teams, providing technical mentorship, and leveraging advanced machine learning techniques. Candidates should possess extensive experience in data science and machine learning tools, particularly in natural language processing and cloud deployments. The role emphasizes collaboration and effective communication of technical concepts to diverse audiences.

Key Responsibilities:

• Build and increase customer data science + machine learning workloads and apply the best MLOps to productionize these workloads across a variety of domains
• Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation
• Advise data teams on several data science areas such as architecture, tooling, and best practices
• Provide technical mentorship to the larger ML Subject Matter Expert community

Key Skills:

• 5+ years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch
• Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Experience building production-grade machine learning deployments on AWS, Azure, or Google Cloud Platform including drift monitoring
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience
• Experience communicating and teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving value through ML
• Experience working with Apache SparkTM to process large-scale distributed datasets
• Experience working with the Databricks platform, mlFlow and popular data science libraries
• CI/CD experience with Git, Azure pipelines, DevOps
• 2+ years customer-facing experience
• Can meet expectations for technical training and role-specific outcomes within 1 month of hire
• Preferred Certifications: Databricks Associate ML Engineer, Databricks Professional ML Engineer, Databricks Associate GenAI Engineer, Databricks Data Engineer

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT