Staff Analytics Engineer (AI & Predictive)
Core
Design, build, and operationalize predictive analytics, traditional machine learning models, agentic AI systems, and Databricks-native data applications to drive real business outcomes.
Role type
Staff Analytics Engineer (AI & Predictive)
Builds
Production-grade ML models, agentic AI workflows, and Databricks-native data applications
Domain
Information Technology / Data Science / Machine Learning
Deliverable
production ML models
Required skills
Python, traditional machine learning techniques, Databricks application development, feature engineering, model evaluation, explainability, data engineering collaboration
Preferred skills
agentic AI systems design, Lakehouse architectures, ML Ops practices, cloud platforms, enterprise application integration, data governance
Technologies
Databricks, Python, Lakehouse, AWS
Responsibilities
Design and deploy traditional ML models (regression, classification, clustering, time-series); implement agentic AI workflows and multi-step agent pipelines; develop Databricks-native applications and dashboards; operationalize ML models into production pipelines with monitoring and drift detection; develop end-to-end data solutions from ingestion to user-facing apps; mentor peers and influence architectural decisions.
Seniority
Staff, hands-on IC with technical leadership