Job Role
A team is looking for an MLOps professional to support the development and deployment of machine learning models. This role involves collaborating with data scientists, implementing automation pipelines, and ensuring efficient model deployment.
Key Responsibilities
* Maintain and enhance CI/CD framework for efficient model releases
* Manage and automate Terraform pipelines for streamlined workflow management
* Deploy code and models on Databricks and Kubernetes platforms for Data Science teams
* Provide guidance and support to data scientists on MLOps best practices
Requirements
* At least 3 years of hands-on experience in MLOps positions
* Expertise in Azure Databricks for ML workflows, with strong knowledge of related technologies
* Proficiency in Azure DevOps and Azure Pipelines for effective CI/CD management
* Strong understanding of Docker, Kubernetes, and Terraform for containerized and scalable deployments
* Extensive experience in automating ML workflows and model deployment, with a focus on efficiency and scalability
* Excellent communication and collaboration skills, with ability to work with distributed teams
* Fluency in English (mandatory)