Senior Machine Learning Engineer

We are looking for a **Senior Machine Learning Engineer** to join our team and contribute to the success of the GenAI initiative. In this position, you will focus on building, enhancing, and optimizing backend systems to support LLM\-powered applications using OpenAI APIs. Your expertise in MLOps, CI/CD, observability tools, and cloud\-native platforms will be key to ensuring the scalability, reliability, and efficiency of AI\-driven solutions.   **Responsibilities** * Design and enhance backend systems to support AI and LLM\-based applications * Deploy and manage LLM applications within cloud environments * Optimize AI systems to meet performance and reliability standards * Develop automated deployment workflows using CI/CD pipelines * Monitor and maintain the stability of AI services * Establish observability and logging systems to track LLM API performance * Work with DevOps teams to enhance workflows and ensure system reliability * Collaborate with AI and Data Science teams to improve and expand application capabilities * Utilize cloud platforms, particularly Azure, to deploy and scale AI solutions * Create and implement APIs and microservices to enable AI\-powered functionalities   **Requirements** * A minimum of 3 years of experience in Machine Learning Engineering with a focus on backend and software development * Extensive experience integrating and working with OpenAI APIs and similar AI services * Proficiency in using MLOps tools such as Orion, ArgoCD, and Opsera for deployment automation * Hands\-on experience with observability and monitoring tools, including Grafana, Dynatrace, and ThoughtSpot * Strong knowledge of cloud platforms, especially Azure, along with expertise in Apache Spark and Databricks * Advanced Python skills for backend development and implementation * Demonstrated experience in designing and building APIs and microservices architectures * Fluency in English, both written and spoken, at a B2\+ level or higher   **Nice to have** * Understanding of Data Science principles and methodologies * Experience working with Large Language Models (LLMs) * Familiarity with Natural Language Processing (NLP) techniques and tools   **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