Join our team as a Machine Learning Engineer focusing on backend development for the GenAI project.You will design, implement, and maintain scalable AI applications, integrating OpenAI APIs with cloud-native technologies while automating deployment and monitoring.
Apply now to contribute to cutting-edge AI solutions and advance your career in AI engineering.ResponsibilitiesDevelop and optimize backend services for AI and LLM applicationsIntegrate, scale, and manage LLM-based applications in cloud environmentsImplement CI / CD pipelines to automate deployment processesMonitor and optimize performance of AI servicesEnsure observability and logging for LLM API performance trackingCollaborate with DevOps and AI / DS teams to streamline workflowsWork with cloud platforms, preferably Azure, to host and scale AI applicationsDevelop APIs and microservices supporting AI-powered featuresRequirementsMinimum 2 years of experience in Machine Learning Engineering with a backend software focusStrong experience with OpenAI APIs and AI service integrationExpertise in MLOps and CI / CD tools, including Orion, ArgoCD, and OpseraProficiency in monitoring and observability tools such as Grafana, Dynatrace, and ThoughtSpotExperience with cloud and infrastructure technologies, especially Azure, Apache Spark, and DatabricksStrong Python programming skills and familiarity with microservices architectureExcellent English communication skills at B2 level or higherWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersEmployee 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
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Machine Learning Engineer • Curitiba, Paraná, Brasil