Sr. ML Engineer
Tasks
- Build and operate data and feature pipelines on Databricks and Spark
- Convert data science prototypes into production ML services
- Enforce privacy by design with access controls and encryption
- Engineer activation delivery pipelines into DSPs SSPs and clean rooms
- Implement CI CD for ML deployments
- Manage model lifecycle with MLflow and versioned registry
- Monitor model drift and automate retraining
- Support batch and near real time scoring on Azure
Perks/Benefits
- N/A
Skills/Tech-stack
ADLS | AKS | Access Control | Airflow | Apache Spark | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | Azure ML | Azure Machine Learning | CI/CD | Dagster | Data Engineering | Data Lake Storage | Data Pipelines | Databricks | Databricks Workflows | Docker | Encryption | Feature Engineering | GitHub Actions | Identity resolution | Kubernetes | Kubernetes Service | MLflow | Machine Learning | Python | SQL | Snowflake | Structured Streaming
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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