Senior AI Engineering Machine Learning Engineer

We are looking for a **Senior AI Engineering Machine Learning Engineer** to lead backend development for advanced GenAI projects. You will be responsible for designing, deploying, and maintaining scalable AI\-driven applications using OpenAI APIs and cloud\-native tools, with a focus on automation and monitoring. Join us to play a key role in innovative AI solutions and grow your expertise in AI engineering.   **Responsibilities** * Design and enhance backend services supporting AI and large language model applications * Integrate and scale LLM\-based solutions within cloud infrastructures * Build and maintain CI/CD pipelines for seamless deployment automation * Monitor AI service performance and implement improvements * Ensure comprehensive observability and logging for LLM API usage * Collaborate closely with DevOps and AI/Data Science teams to improve processes * Utilize cloud platforms, especially Azure, to deploy and scale AI applications * Create APIs and microservices enabling AI\-powered capabilities   **Requirements** * At least 3 years of professional experience in machine learning engineering with a backend software emphasis * Proven expertise with OpenAI APIs and integrating AI services * Strong knowledge of MLOps and CI/CD tools such as Orion, ArgoCD, and Opsera * Experience with monitoring and observability platforms like Grafana, Dynatrace, and ThoughtSpot * Solid background with cloud and infrastructure technologies including Azure, Apache Spark, and Databricks * Advanced Python programming abilities and understanding of microservices architecture * Fluent English communication skills at B2 level or above   **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