Related skills
mongodb python kubernetes pytorch scikit-learn📋 Description
- Lead design, development, and deployment of production ML pipelines for classification.
- Own end-to-end ML lifecycle: prototyping, feature store, deployment, monitoring.
- Set architectural standards; mentor Backend/Frontend/QA engineers; collaborate with Product/DS.
- Drive the full stack: Python services, Kubernetes, MongoDB, Redis for real-time serving.
- Lead and mentor a diverse team; grow engineering talent in India.
- Translate customer needs into reliable, scalable predictive capabilities.
🎯 Requirements
- 7+ years production Python development experience
- ML pipeline design and deployment experience
- Kubernetes & Docker-based deployment experience
- MongoDB, Redis, and PostgreSQL data stores
- Experience with scikit-learn, XGBoost, LightGBM, PyTorch
- Cloud platforms AWS, Azure, or GCP
- CI/CD with GitHub Actions and DevOps practices
- Collaboration with Product and Data Science; leadership experience
🎁 Benefits
- DEIB commitment and inclusive culture
- Global collaboration with US/Europe teams
- Career growth and leadership opportunities
- Work on a cloud-native platform with impact
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