1 day 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 seeking an experienced Machine Learning Engineering Manager to lead our engineering team in developing innovative AI-powered solutions that drive business impact. This role involves overseeing the creation and deployment of scalable AI infrastructure while fostering collaboration across product, design, and data teams to deliver measurable outcomes. Responsibilities Lead the design and deployment of AI and ML systems, ensuring scalability and cost-efficiency Oversee the integration of AI infrastructure like vector databases, model orchestration tools, and inference frameworks Collaborate with cross-functional teams across engineering, product, design, and data science to deliver impactful solutions Drive the development of scalable, enterprise-grade ML platforms for structured and unstructured data Manage end-to-end product data pipelines, taxonomies, and schemas to align with e-commerce and other use cases Ensure the adoption of modern MLOps practices to streamline model training, deployment, and monitoring Identify and integrate LLMs and GenAI technologies to address various business challenges Lead API architecture development for efficient communication across AI systems and other platforms Stay informed of emerging trends like RAG pipelines, multimodal LLMs, and prompt orchestration to maintain technical excellence Foster a team culture of innovation, collaboration, and outcome-driven decision-making Requirements 7+ years of backend development experience, including 3+ years with Python, as well as expertise in server-side technologies like GoLang and PHP Strong foundation in SQL and in-memory storage solutions combined with AI/ML systems architecture and production deployment expertise Proven track record in deploying LLMs and GenAI technologies at scale Hands-on experience with cloud platforms such as AWS, GCP, or Azure and using modern MLOps tools Deep understanding of API architecture and familiarity with frontend frameworks like Angular or React Leadership experience in managing cross-functional teams and aligning technical, product, and design goals Background in designing scalable and cost-effective AI platforms with measurable business outcomes Knowledge of product data pipelines, schemas, and taxonomies for e-commerce use cases Nice to have Familiarity with modern AI infrastructure tools like vector databases and cloud-native ML workflows Hands-on experience with model orchestration tools for building scalable systems Capability to apply AI to both structured and unstructured enterprise data Skills in employing RAG pipelines, multimodal LLMs, or advanced prompt orchestration techniques 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 Associate Employment type Employment type Full-time Job function Job function Engineering, Information Technology, and Research Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet Referrals increase your chances of interviewing at EPAM Systems by 2x Bogota, D.C., Capital District, Colombia 6 days ago Bogota, D.C., Capital District, Colombia 1 month ago Bogota, D.C., Capital District, Colombia 1 month ago Bogota, D.C., Capital District, Colombia 1 month ago Bogota, D.C., Capital District, Colombia 3 weeks ago Software Engineering Manager, Ubuntu Gaming Bogota, D.C., Capital District, Colombia 2 days ago Bogota, D.C., Capital District, Colombia 1 month ago Technical Manager - Automotive and Industrial Bogota, D.C., Capital District, Colombia 12 months ago Bogota, D.C., Capital District, Colombia 2 weeks ago Bogota, D.C., Capital District, Colombia 3 weeks ago Engineering Manager - Public Cloud, Python, Golang Bogota, D.C., Capital District, Colombia 1 month ago Bogota, D.C., Capital District, Colombia 2 months ago We’re unlocking community knowledge in a new way. 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