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