Senior Data Scientist

Senior Data Scientist designs, builds, deploys, and supports production-grade machine learning solutions. Leverages Databricks AI Platform to develop scalable AI/ML models while driving best practices in software engineering, MLOps, automation, and production support. Combines deep machine learning expertise with strong engineering skills to deliver reliable, enterprise-scale solutions.

• Design and architect production-grade machine learning solutions.

• Build and deploy scalable AI/ML models on the Databricks AI Platform.

• Implement MLOps best practices, including CI/CD pipelines and automated testing.

• Integrate feature engineering, model serving, and lakehouse architecture.

• Monitor, troubleshoot, and optimize AI/ML solutions in enterprise production environments.

• Collaborate with cross-functional teams to ensure reliability and scalability.

• 8+ years of hands-on experience building, deploying, and supporting machine learning solutions in production environments.

• Deep expertise with the Databricks AI Platform, including MLflow, Unity Catalog, Feature Engineering, Model Serving, Lakehouse Architecture, and end-to-end MLOps.

• Strong software engineering background with experience in Git, CI/CD pipelines, automated testing, deployment automation, monitoring, and observability.

• Experience with Azure Dev Ops or comparable Dev Ops platforms.

• Proven ability to support and optimize AI/ML solutions in enterprise production environments.

• Experience with Generative AI, LLMs, or advanced analytics solutions.

• Experience working in Azure or other cloud platforms.

• Databricks, Azure, or MLOps-related certifications.

You have 8+ years delivering production ML on Databricks. Expert in MLOps, CI/CD pipelines, and model monitoring. Proficient with Azure Dev Ops, lakehouse architecture, and feature engineering