3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are looking for an experienced Chief DevOps Engineer to join our team. In this position, you will be responsible for advancing infrastructure, streamlining workflows, and optimizing the performance of AI/ML systems. You will collaborate with cross-functional teams to drive innovation, ensure system reliability, and enable the efficient deployment of machine learning models into production environments. Responsibilities Design and maintain scalable infrastructure to support AI/ML workflows and processes Create and manage CI/CD pipelines for automating the deployment of machine learning models and services Collaborate with data science teams to ensure seamless integration of machine learning models into production systems Optimize workflows for training and retraining AI/ML systems to ensure efficiency and flexibility Implement monitoring and alerting mechanisms to track system reliability and model performance Debug and validate machine learning models to ensure accuracy and functionality in production environments Develop reusable frameworks and libraries to enhance development processes and efficiency Work with stakeholders to evaluate and implement MLOps tools and best practices Requirements At least 7 years of experience in a DevOps role A minimum of 2 years of experience leading and managing development teams Advanced proficiency in Python for managing infrastructure and workflows Proven experience in deploying, testing, and debugging machine learning models in production environments Demonstrated ability to train and retrain AI/ML systems effectively and adaptively Strong expertise in monitoring and optimizing system workflows and model performance Familiarity with MLOps tools and the ability to recommend and implement them as needed Experience in building reusable libraries and frameworks to support development teams Fluent English communication skills, both written and spoken, at a B2 level or higher Nice to have Experience working with biology datasets, particularly in the context of AI/ML applications We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering, Information Technology, and Business Development Industries Software Development, IT Services and IT Consulting, and Pharmaceutical Manufacturing Referrals increase your chances of interviewing at EPAM Systems by 2x Sign in to set job alerts for “DevOps Engineer” roles. Bogota, D.C., Capital District, Colombia 4 days ago Bogota, D.C., Capital District, Colombia 4 days ago Bogota, D.C., Capital District, Colombia 6 months ago Bogota, D.C., Capital District, Colombia 2 weeks ago Bogota, D.C., Capital District, Colombia 6 days ago Bogota, D.C., Capital District, Colombia 5 days ago Bogota, D.C., Capital District, Colombia 1 week ago Bogota, D.C., Capital District, Colombia 1 week ago Colombia $30,000.00-$55,000.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr