Sr. Engineer - Data & ML Platform (Hybrid, IND)
Tasks
- Adopt software engineering best practices
- Build scalable ML pipelines
- Collaborate with data scientists to review code
- Create feature engineering workflows
- Deploy and monitor machine learning models
- Design data ml platform
- Develop model training and serving pipelines
- Enable self service ml experimentation
- Implement data preparation and cataloging
- Modularize ML code into reusable components
- Orchestrate batch and near real time pipelines
Perks/Benefits
- Competitive vacation and holidays
- Employee volunteer opportunities
- Hybrid work
- Paid adoption leave
- Paid parental leave
- Professional development opportunities
- Wellness programs
Skills/Tech-stack
Airflow | Apache Flink | Apache Iceberg | Apache Spark | Blob Storage | CI/CD | Cloud Storage | Cloud platform | Containerization | GRPC | GitHub Actions | Google Cloud | Google Cloud Platform | Google Cloud Storage | Java | Jenkins | Jupyter Notebooks | Kubernetes | MLflow | Machine Learning | Parquet | Pinot | Protocol Buffers | Python | Ray | Scala | Terraform | Vertex AI
Education
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