Python Technical Lead

EPAM Systems is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers clients to become AI-Native enterprises, delivering measurable value from innovation and digital investments.

• 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 wrapping the model in an MLflow wrapper and defining the API
• Implement best practices for CI/CD using GitLab, ensuring code quality, testing, and deployment automation
• Lead, mentor, and manage a team of 5+ engineers, fostering a collaborative and high-performance environment

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