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EPAM is a leading global provider of digital platform engineering and development services.
We are committed to having a positive impact on our customers, our employees, and our communities.
We embrace a dynamic and inclusive culture.
Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.
No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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
- 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
Seniority level
Employment type
Job function
- Engineering, Information Technology, and Research
Industries
- Software Development, IT Services and IT Consulting, and Retail
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