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 Systems Architect (DevOps & MLOPs) to join our team. In this role, you will be an integral part of our solution architecture team, focusing on designing and implementing data infrastructure and DevOps solutions for our projects. If you have a passion for data architecture and DevOps, and a strong foundation in systems architecture, MLOps, MLflow, Apache Airflow, Kubeflow, CI/CD, infrastructure, Prometheus, and Grafana, we encourage you to apply.
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#LI-DNIResponsibilitiesShorten development cycles for our software and AI/Client systemsBuild and maintain tools and infrastructure for efficient software and AI/Client developmentHelp us build and automate our AI/Client workstream from data analysis, experimentation, operationalization, model training, model tuning to visualizationBuild and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance, and validation)Train and Re-train systems when necessaryImprove and maintain the automated CI/CD pipelineIncrease the deployment velocity, including the process for deploying models and data pipelines into productionBuild and maintain infrastructure as code (IaC) in the cloud, that can scale when neededCollaborate with engineering team to develop, deploy and maintain our products with easeAbility to take on substantial responsibilities from the first day and the opportunity to directly shape our full CI/CD+ infrastructureRequirements10 + years of strong experience in MLOPsSolid experience in designing, building DevOps pipelines for ML models/apps and different environments required for Dev/Test/UAT/ProdExperience in providing quick solutions/fixes to the production issues on ML modelsExperience with Monitoring/Alerting systems for model failures, data failures, real time scoring failures etcExperience in selecting appropriate datasets and data representation methodsAble to Perform statistical analysis and fine-tuning using test results after running the machine learning tests and experimentsProven programming skills with multiple programming languages: Python/Java or similarShell scripting and Unix OS skills are necessarySolid experience with Software engineering good practices, especially DevOps practicesExcellent problem solving and debugging skillsStrong experience with Cloud infrastructure on any of GCP/AWS/Azure cloud platforms. Experience in GCP is preferrableFamiliar with tools such as Apache Airflow, DVC, MLFlow etcCertifications Preferred: Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud DevOps / Architecture / EngineeringNice to haveFamiliarity with Data Science and ML conceptsComputer Science graduate (BTech/BE or higher)We 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.)
