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Python Technical Lead

Role overview

Qualifications

  • 8+ years of experience in data engineering, including at least 2+ years in a leadership role
  • Expertise in Python and essential data engineering libraries, including Python Core, Multithreading, Async, REST API, Exceptions, and Pydantic
  • Background in Azure cloud services, including Azure Databricks, Azure App Service, and IAM/RBAC
  • Proficiency in CI/CD workflows, version control (GitLab), and DevOps practices

Responsibilities

  • Lead design, development, and deployment of backend platform capabilities in a restricted Azure Greenfield environment that will host the models
  • Design an API that enables users to query the models
  • Leverage Azure Databricks for hosting and deploying models
  • Establish processes and guidelines for model deployment, including how to wrap the model in an MLflow wrapper and define the API structure

Key facts

Hard skills

Other skills

  • Problem Solving
  • Leadership
  • Communication

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We are looking for a highly skilled Python Technical Lead to join our dynamic team, guiding the design and development of distributed backend solutions while leading a team of 5+ data engineers to deliver API backends for deploying and querying various models on Azure Databricks. Responsibilities Lead design, development, and deployment of backend platform capabilities in a restricted Azure Greenfield environment that will host the models Design an API that enables users to query the models Leverage Azure Databricks for hosting and deploying models Establish processes and guidelines for model deployment, including how to wrap the model in an MLflow wrapper and define the API structure 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 Requirements 8+ years of experience in data engineering, including at least 2+ years in a leadership role Expertise in Python and essential data engineering libraries, including Python Core, Multithreading, Async, REST API, Exceptions, and Pydantic Background in 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 tools, including Docker and Kubernetes Skills in problem-solving and capability to thrive in a fast-paced, agile environment Excellent communication, leadership, and stakeholder management abilities English proficiency at an Upper-Intermediate level (B2) or higher

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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