Sr. ML Engineer
Tasks
- Build and operate data and feature pipelines
- Convert ML prototypes into production services
- Engineer activation layer for segment delivery
- Ensure scalability latency and cost efficiency for scoring
- Implement privacy by design with encryption and access controls
- Manage model lifecycle with MLflow tracking and registry
- Monitor model drift and implement rollback
- Set up CI CD pipelines and automated retraining
Perks/Benefits
Skills/Tech-stack
ADLS | AKS | Apache Spark | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Batch Scoring | CI/CD | Data Drift | Data Engineering | Data Lake Storage | Data drift monitoring | Databricks | Drift monitoring | Feature Engineering | GitHub Actions | Identity graphs | Identity resolution | Kubernetes Service | MLflow | Machine Learning | Model Deployment | Near Real Time Scoring | Near-real-time | Python | Real-time Scoring | SQL | Snowflake
Education
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