Senior Staff Engineer ML Ops
Senior Staff Engineer ML Ops
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Job Description
What You Will Do:
Design build and maintain end-to-end MLOps pipelines for ML model training testing and deployment.
Collaborate with Data Scientists to productionize ML models in Azure ML and Azure Databricks.
Implement CI/CD pipelines for ML workflows using Azure DevOps GitHub Actions or Jenkins.
Automate infrastructure provisioning using IaC tools (Terraform ARM templates or Bicep).
Monitor and manage deployed models using Azure Monitor Application Insights and MLflow.
Implement best practices in model versioning model registry experiment tracking and artifact management.
Ensure security compliance and cost optimization of ML solutions deployed on Azure.
Work with cross-functional teams (Data Engineers DevOps Engineers Data Scientists) to streamline ML delivery.
Develop monitoring/alerting for ML model drift data drift and performance degradation.
What You Need:
Required Skills
11-15 years of experience in programming: Python (must) SQL;. MLOps/DevOps Tools: MLflow Azure DevOps GitHub Actions Docker Kubernetes (AKS).
Azure Services: Azure ML Azure Databricks Azure Data Factory Azure Storage Azure Functions Azure Event Hubs.
CI/CD: Experience designing pipelines for ML workflows. IaC: Terraform ARM templates or Bicep.
Data Handling: Experience with Azure Data Lake Blob Storage and Synapse Analytics.
Monitoring & Logging: Azure Monitor Prometheus/Grafana Application Insights. Strong knowledge of ML lifecycle (data preprocessing model training deployment monitoring).
Preferred Skills:
Experience with Azure Kubernetes Service (AKS) for scalable model deployment.
Knowledge of feature stores and distributed training frameworks. Familiarity with RAG (Retrieval Augmented Generation) pipelines and LLMOps.
Azure certifications such as Azure AI Engineer Associate Azure Data Scientist Associate or Azure DevOps Engineer Expert.
Required Experience:
Staff IC
Employment Type
Full-Time
