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