Senior ML 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 Senior Machine Learning Engineer to join our team and contribute to the GenAI project. In this role, you will focus on designing, building, and optimizing backend systems that support LLM-driven applications using OpenAI APIs. You will leverage your expertise in MLOps, CI/CD, observability, and cloud-native technologies to ensure the scalability, reliability, and performance of AI-powered solutions. ResponsibilitiesDevelop and optimize backend services for AI and LLM-based applicationsIntegrate and manage LLM-based applications in cloud environmentsScale AI applications to meet performance and reliability requirementsImplement CI/CD pipelines to automate deployment processesMonitor AI services to ensure performance and reliabilityEstablish observability and logging for tracking LLM API performanceCollaborate with DevOps teams to streamline workflows and improve system uptimeWork closely with AI and Data Science teams to enhance application functionalityLeverage cloud platforms, with a preference for Azure, to host and scale AI solutionsDesign and develop APIs and microservices to enable AI-powered features RequirementsAt least 3 years of experience in Machine Learning Engineering with a focus on software and backend systemsStrong expertise in integrating and working with OpenAI APIs and AI servicesProficiency in MLOps tools such as Orion, ArgoCD, and Opsera for deployment automationHands-on experience with monitoring and observability tools like Grafana, Dynatrace, and ThoughtSpotDeep understanding of cloud platforms, particularly Azure, as well as Apache Spark and DatabricksStrong Python programming skills for backend developmentExperience in designing and implementing APIs and microservices architectureFluent English communication skills, both written and spoken, at a B2+ level or higher Nice to haveKnowledge of Data Science principles and techniquesExperience working with Large Language Models (LLMs)Familiarity with Natural Language Processing (NLP) concepts and applications We offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn