Systems Architect (DevOps & MLOPs)

Job Description

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 a seasoned Systems Architect with significant expertise in DevOps and MLOps operational methodologies to join our team. The candidate will play a key role in streamlining development cycles, elevating software and AI/ML operations, and transforming systems architecture to ensure maximum efficiency and reliability within the organization. This position requires hands-on involvement in building, automating, and maintaining AI/ML workflows, backed by a robust foundation in cloud infrastructure and continuous integration and delivery systems. Responsibilities Shorten development cycles for both software and AI/ML systems Maintain tools and infrastructure to optimize AI/ML development processes Automate the AI/ML workflow, including data analysis, operationalization, training, and visualization Build and oversee data pipelines for analytics, model evaluation, and training Train systems or update them as needed Enhance and support the automated CI/CD pipeline Increase the deployment speed of models and data pipelines Construct and maintain scalable infrastructure as code (IaC) in cloud environments Foster collaboration with the engineering team to ensure seamless product development and maintenance Encourage continuous learning and implement best practices across the team Take ownership of pivotal responsibilities from day one to directly impact our CI/CD+ infrastructure Requirements 10+ years of strong experience in MLOps Background in designing DevOps pipelines applicable to multiple developmental stages Competency in resolving production issues for ML models and managing monitoring/alerting systems Understanding of statistical analysis and selecting datasets for ML testing Proficiency in Python, Java, or similar programming languages Skills in shell scripting and Unix OS Knowledge of software engineering good practices, with a focus on DevOps principles Experience in cloud infrastructure platforms such as GCP, AWS, or Azure (GCP preferred) Familiarity with Apache Airflow, DVC, MLFlow, or equivalent tools Strong problem-solving, debugging, and interpersonal communication abilities Qualifications in Cloud DevOps, Architecture, or Engineering from major cloud platforms (AWS, Azure, GCP) Degree in Computer Science (BTech/BE or higher) Nice to have Understanding of data science and ML concepts We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)