Lead Systems Engineer

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 skilled and passionate Lead Systems Engineer with Data DevOps/MLOps expertise to drive innovation and efficiency across our data and machine learning operations.ResponsibilitiesDesign, deploy, and manage CI/CD pipelines for seamless data integration and ML model deploymentEstablish robust infrastructure for processing, training, and serving machine learning models using cloud-based solutionsAutomate critical workflows such as data validation, transformation, and orchestration for streamlined operationsCollaborate with cross-functional teams, including data scientists and engineers, to integrate ML solutions into production environmentsImprove model serving, performance monitoring, and reliability in production ecosystemsEnsure data versioning, lineage tracking, and reproducibility across ML experiments and workflowsIdentify and implement opportunities to improve scalability, efficiency, and resilience of the infrastructureEnforce rigorous security measures to safeguard data and ensure compliance with relevant regulationsDebug and resolve technical issues in data pipelines and ML deployment workflowsRequirementsBachelors or Masters degree in Computer Science, Data Engineering, or a related field8+ years of experience in Data DevOps, MLOps, or related disciplinesExpertise in cloud platforms such as Azure, AWS, or GCPSkills in Infrastructure as Code tools like Terraform, CloudFormation, or AnsibleProficiency in containerization and orchestration technologies such as Docker and KubernetesHands-on experience with data processing frameworks including Apache Spark and DatabricksProficiency in Python with familiarity with libraries including Pandas, TensorFlow, and PyTorchKnowledge of CI/CD tools such as Jenkins, GitLab CI/CD, and GitHub ActionsExperience with version control systems and MLOps platforms including Git, MLflow, and KubeflowUnderstanding of monitoring and alerting tools like Prometheus and GrafanaStrong problem-solving and independent decision-making capabilitiesEffective communication and technical documentation skillsNice to haveBackground in DataOps methodologies and tools such as Airflow or dbtKnowledge of data governance platforms like CollibraFamiliarity with Big Data technologies such as Hadoop or HiveShowcase of certifications in cloud platforms or data engineering toolsWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.) 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 skilled and passionate Lead Systems Engineer with Data DevOps/MLOps expertise to drive innovation and efficiency across our data and machine learning operations.ResponsibilitiesDesign, deploy, and manage CI/CD pipelines for seamless data integration and ML model deploymentEstablish robust infrastructure for processing, training, and serving machine learning models using cloud-based solutionsAutomate critical workflows such as data validation, transformation, and orchestration for streamlined operationsCollaborate with cross-functional teams, including data scientists and engineers, to integrate ML solutions into production environmentsImprove model serving, performance monitoring, and reliability in production ecosystemsEnsure data versioning, lineage tracking, and reproducibility across ML experim