Senior AI DevOps/SRE Engineer

We are currently seeking an experienced Senior AI DevOps/SRE to join our team. In this pivotal role, you will collaborate closely with data scientists and software developers to ensure seamless integration and optimize the operational efficiency of our AI deployments. Your expertise will be pivotal in deploying, maintaining, and scaling our cutting-edge AI solutions, encompassing LLMs and RAG systems. As a key team member, you will spearhead both traditional DevOps responsibilities and innovative approaches to MLOps.Your proactive involvement will be essential in driving the success of our AI initiatives and maximizing their impact across the organization. Responsibilities Implement and maintain CI/CD pipelines for AI and machine learning projects, ensuring robust deployment strategies and continuous integrationMonitor and ensure the reliability, availability, and performance of AI applications, particularly those involving LLMs and RAGCollaborate with AI research teams to operationalize machine learning models and systems efficientlyDevelop and enforce best practices for version control, configuration management, and testing of AI-driven software solutionsUtilize MLOps tools such as Kubeflow, MLflow, or TensorFlow Extended (TFX) to streamline the machine learning lifecycle from experimentation to productionImplement monitoring solutions that track both system metrics and model performance to facilitate proactive issue resolutionParticipate in on-call rotations to support the operational health of critical systems, employing SRE principles to meet service-level objectives (SLOs) and reduce downtime Requirements Bachelor’s degree in Computer Science, Engineering, or a related fieldProven experience as a DevOps Engineer or SRE, with a strong background in software development and automationStrong familiarity with Generative AI OperationsExpertise in deployment and management of LLMs, including technologies like RAGProficient in CI/CD tools (Jenkins, GitLab CI, CircleCI) and infrastructure as code (Terraform, Ansible)Solid knowledge of container orchestration technologies (Kubernetes, Docker)Familiarity with MLOps tools and practices to support machine learning lifecycle management Nice to have Experience with cloud services (AWS, GCP, Azure), particularly in AI/ML deploymentsBackground in monitoring tools like Prometheus, Grafana, and ELK stackUnderstanding of Python, particularly in data science and machine learning contextsCertification in Kubernetes, AWS/GCP/Azure, or similar technologies We offer We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceDiscounts for fitness clubs and sports programsBenefits package (sports activities, a variety of stores and services) Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek. EPAM Kyrgyzstan is a team of technologists and innovators united by a passion for technology. In 2022, we opened our first office in Bishkek that works with the world's leading companies across many different industries. EPAM builds a continuously learning organization and helps its employees reach their full potential and achieve their professional goals through learning. Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.