As anML Ops Engineer, you will be instrumental in operationalizing and managing machine learning models. You’ll focus on optimizing model deployment, scaling, and managing the lifecycle of machine learning models in production environments.In this role, you will have the opportunity to work on cutting-edge projects that impact various industries, driving innovation and operational efficiency. Join EPAM and help shape the future of machine learning applications in real-world settings.Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it’s the comfort of your home or our modern office in Bishkek.#LI-DNI#top-vacancies-10-KGResponsibilitiesDevelop and maintain automation tools for continuous integration and deployment (CI/CD) of machine learning modelsEnsure robust monitoring and logging systems for models in production to quickly identify and address any issuesCollaborate closely with data scientists and data engineers to enhance model architecture and performanceManage the infrastructure and resources needed for deploying models in production, including servers, data storage, and computational resourcesImplement version control and change management for machine learning modelsImplement and maintain robust monitoring, logging, and alerting systems to ensure the operational health and performance of ML models in production environmentsProactively identify, diagnose, and resolve performance bottlenecks and anomalies in deployed modelsEnforce data security best practices and ensure compliance with regulatory requirementsStay updated with the latest advancements in machine learning technologies, tools, and industrial standardsRequirements
As anML Ops Engineer, you will be instrumental in operationalizing and managing machine learning models. You’ll focus on optimizing model deployment, scaling, and managing the lifecycle of machine learning models in production environments.In this role, you will have the opportunity to work on cutting-edge projects that impact various industries, driving innovation and operational efficiency. Join EPAM and help shape the future of machine learning applications in real-world settings.Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it’s the comfort of your home or our modern office in Bishkek.#LI-DNI#top-vacancies-10-KGResponsibilities
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