Engineering Manager leading AI-Native Engineering initiatives in Bangalore for healthcare technology. Responsible for data pipelines and ML-driven growth strategies in a hybrid work environment.
Responsibilities
Build the "Intelligence Layer": Architect the real-time decisioning layer that ingests ML signals and routes them to execution platforms.
Operationalize Growth ML Models: Partner with Data Science to serve and monitor predictive models.
Lead the Transition to Harness Engineering: Drive the adoption of AI-native workflows.
Guarantee Data Trust: Implement automated data sentinels and contract tests.
Requirements
2+ years of experience managing engineering teams.
3+ years of experience with data engineering technologies including PySpark, Databricks, and SQL.
Understanding of production data pipelines and data lifecycle management.
Experience with ML Ops and Model Serving.
Benefits
Inclusive healthcare and benefits: Comprehensive medical, dental, and vision coverage.
Lifestyle stipend to support overall well-being.
Learning and development opportunities to grow personally and professionally.
Discounted company stock through our ESPP with easy payroll deductions.
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