Senior ML Engineer

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.   **Responsibilities** * Develop and optimize backend services for AI and LLM\-based applications * Integrate and manage LLM\-based applications in cloud environments * Scale AI applications to meet performance and reliability requirements * Implement CI/CD pipelines to automate deployment processes * Monitor AI services to ensure performance and reliability * Establish observability and logging for tracking LLM API performance * Collaborate with DevOps teams to streamline workflows and improve system uptime * Work closely with AI and Data Science teams to enhance application functionality * Leverage cloud platforms, with a preference for Azure, to host and scale AI solutions * Design and develop APIs and microservices to enable AI\-powered features   **Requirements** * At least 3 years of experience in Machine Learning Engineering with a focus on software and backend systems * Strong expertise in integrating and working with OpenAI APIs and AI services * Proficiency in MLOps tools such as Orion, ArgoCD, and Opsera for deployment automation * Hands\-on experience with monitoring and observability tools like Grafana, Dynatrace, and ThoughtSpot * Deep understanding of cloud platforms, particularly Azure, as well as Apache Spark and Databricks * Strong Python programming skills for backend development * Experience in designing and implementing APIs and microservices architecture * Fluent English communication skills, both written and spoken, at a B2\+ level or higher   **Nice to have** * Knowledge of Data Science principles and techniques * Experience working with Large Language Models (LLMs) * Familiarity with Natural Language Processing (NLP) concepts and applications   **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