Sr. Engineer - Data & ML Platform (Hybrid, IND)
Tasks
- Build scalable ML experimentation pipelines
- Design and build data and ML platform
- Develop standardized Python interfaces for data scientists
- Implement model development, deployment, and monitoring patterns
- Modularize ML code into reusable components
- Orchestrate execution of data and ML pipelines
- Review code changes and enforce software best practices
- Use Kubernetes and cloud storage for platform services
Perks/Benefits
- Employee networks
- Paid adoption leave
- Paid parental leave
- Professional development opportunities
- Vacation and holidays
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
Airflow | Apache Flink | Apache Spark | Blob Storage | CI/CD | Cloud platform | Containerization | Distributed Computing | FluxCD | GRPC | GitHub Actions | Google Cloud | Google Cloud Platform | Iceberg | Java | Jupyter Notebooks | Kubernetes | MLflow | Machine Learning | NVidia Workbench | Parquet | Protocol Buffers | Python | Queueing systems | Ray | Scala | Terraform | Vertex AI
Education
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