Machine Learning Platform Engineer
Bengaluru Office, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Apply AI automation for productivity
- Build data and feature pipelines
- Design ML infrastructure
- Ensure security, compliance, and auditability
- Implement ML CI/CD
- Implement end to end ML lifecycle platform
- Implement observability and governance
- Optimize ML workload performance and cost
- Orchestrate ML workflows
- Provide ML platform technical leadership
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Amazon SageMaker | Apache Flink | Apache Spark | Argo Workflows | CI/CD | Cloud platform | Databricks | Distributed Systems | Docker | Drift Detection | Experiment tracking | Feast | Feature Stores | Go | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Infrastructure as Code | Java | Kafka | Kubeflow | Kubernetes | Logging | MLflow | Microservices | Microsoft Azure | Model Governance | Model Monitoring | Model Registry | Python | System design | TeamCity | Tecton | Terraform | Tracing | Vertex AI | “as-code”
Education
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