Senior ML Engineer (Data Platform)

GoTo is seeking a Senior ML Engineer to join their Bengaluru-based engineering team focusing on data platforms and production machine learning. The role involves designing scalable data pipelines using PySpark and Databricks, and owning the end-to-end ML lifecycle from feature engineering to model inference and monitoring. The successful candidate will work on core SaaS use cases while mentoring team members and contributing to engineering best practices. The role requires deep experience with production-grade data systems and MLOps, with optional exposure to LLM frameworks.

• 5+ years experience in data or backend engineering
• Hands-on experience in PySpark and SQL
• Experience with Databricks or AWS data stack
• Experience building and deploying ML systems in production
• Knowledge of ML lifecycle: feature engineering, training, inference, and monitoring

Nice to have: feature stores, kafka, spark streaming, kinesis, ci/cd, unity catalog, rag.

Established SaaS company with a global presence, though not a top-tier tech unicorn in the engineering ecosystem.