Python Technical Lead

• 8+ years of experience in data engineering, with at least 2+ years in a leadership role
• Expertise in Python and key data engineering libraries, including Python Core, Multithreading, Async, REST API, Exceptions, and Pydantic
• Strong experience with Azure cloud services, including Azure Databricks, Azure App Service, and IAM/RBAC
• Proficiency in CI/CD workflows, version control (GitLab), and DevOps practices
• Familiarity with containerization and orchestration, including Docker and Kubernetes
• Strong problem-solving skills and ability to work in a fast-paced, agile environment
• Excellent communication, leadership, and stakeholder management skills

• Lead design, development and deployment of backend platform capabilities in a restricted Azure Greenfield environment that will host the models
• Design an API to allow querying of the models by users
• Leverage Azure Databricks to host and deploy models
• Establish process and guidelines for model deployment, including how to wrap the model in an MLflow wrapper and what the API should look like
• Implement best practices for CI/CD using GitLab, ensure code quality, testing, and deployment automation
• Lead, mentor, and manage a team of 5+ engineers, foster a collaborative and high-performance environment

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers clients to become AI-Native enterprises. Benefits listed are for employees only; B2B cooperation agreements are individually agreed; only selected candidates will be contacted.