Machine Learning Engineer — AI Engineering

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.   **Responsibilities** * Develop and optimize backend services for AI and LLM applications * Integrate, scale, and manage LLM\-based applications in cloud environments * Implement CI/CD pipelines to automate deployment processes * Monitor and optimize performance of AI services * Ensure observability and logging for LLM API performance tracking * Collaborate with DevOps and AI/DS teams to streamline workflows * Work with cloud platforms, preferably Azure, to host and scale AI applications * Develop APIs and microservices supporting AI\-powered features   **Requirements** * Minimum 2 years of experience in Machine Learning Engineering with a backend software focus * Strong experience with OpenAI APIs and AI service integration * Expertise in MLOps and CI/CD tools, including Orion, ArgoCD, and Opsera * Proficiency in monitoring and observability tools such as Grafana, Dynatrace, and ThoughtSpot * Experience with cloud and infrastructure technologies, especially Azure, Apache Spark, and Databricks * Strong Python programming skills and familiarity with microservices architecture * Excellent English communication skills at B2 level or higher   **We offer** * International projects with top brands * Work with global teams of highly skilled, diverse peers * Healthcare benefits * Employee financial programs * Paid time off and sick leave * Upskilling, reskilling and certification courses * Unlimited access to the LinkedIn Learning library and 22,000\+ courses * Global career opportunities * Volunteer and community involvement opportunities * EPAM Employee Groups * Award\-winning culture recognized by Glassdoor, Newsweek and LinkedIn