Overview
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.
We are looking for a Senior AI Engineering Machine Learning Engineer to lead backend development for advanced GenAI projects.
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
- 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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