Senior Staff Engineer - ML Ops

The team is seeking a Senior Staff Engineer specializing in ML Ops to join their innovative team. In this role, you will be responsible for designing, building, and maintaining end-to-end MLOps pipelines for machine learning model training, testing, and deployment. You will collaborate closely with Data Scientists to productionize ML models using Azure ML and Azure Databricks.

Key Responsibilities:

• Design and implement MLOps pipelines that ensure smooth model training and deployment.
• Collaborate with Data Scientists to integrate and optimize ML models for production.
• Develop CI/CD pipelines for ML workflows utilizing Azure DevOps, GitHub Actions, or Jenkins.
• Automate infrastructure provisioning with Infrastructure as Code (IaC) tools such as Terraform, ARM templates, or Bicep.
• Monitor and manage deployed models using Azure Monitor, Application Insights, and MLflow.
• Implement best practices for model governance and compliance.

Required Skills & Qualifications:

• Proven experience in ML Ops with a strong understanding of machine learning principles.
• Proficiency in Azure ML and Azure Databricks.
• Experience with CI/CD tools like Azure DevOps, GitHub Actions, or Jenkins.
• Familiarity with IaC tools such as Terraform, ARM templates, or Bicep.
• Strong analytical skills and experience in monitoring and managing machine learning models.
• Excellent collaboration and communication skills.

Experience:

• 5-8 years of relevant experience in ML Ops or a related field.

What we offer:

• Opportunity to work on cutting-edge technology in a dynamic environment.
• Collaborative team culture that fosters innovation and professional growth.
• Access to ongoing training and development resources.