Data Platform Engineer
Bengaluru, BDC11A, India
INR 2000K-3000K (estimate) Senior-level Full Time
Tasks
- Automate model training evaluation validation and deployment
- Design and implement machine learning pipelines
- Implement ML governance lineage and audit trails
- Integrate models into APIs and inference systems
- Manage and optimize cloud infrastructure for ML
- Operationalize machine learning models
- Productionize machine learning experiments
- Set up MLOps practices
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Anonymization | Azure Machine Learning | CI/CD | Data Drift | Data Privacy | Data Quality | Data drift monitoring | Data quality monitoring | Databricks | DevOps | Docker | Drift monitoring | Experiment tracking | Explainability | Fairness | Feature Stores | Google Vertex | Google Vertex AI | Kubernetes | LLM orchestration | Langchain | MLOps | MLflow | Machine Learning | Model Performance Monitoring | Model Registry | Model performance | Performance Monitoring | PyTorch | Python | Quality monitoring | Scikit-learn | Serverless | TensorFlow | Vector Databases | Vertex AI
Education
N/A
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