We are thrilled to invite a highly skilled Senior ML/AI Engineer to join our enthusiastic team. In this role, the successful candidate will drive the enhancement of user experience and operational efficiency through innovative AI technologies by developing and integrating advanced machine learning models into our toolset.
#LI-DNI
Responsibilities
- Design, develop and train machine learning models using Google's AI stack, including AI Agent Studio, Gemini and Vertex AI
- Collaborate with cross-functional teams to create AI solutions like a Sales team assistant for client call summarization and a document base analyzer for tracking changes in products or strategies
- Seamlessly integrate trained machine learning models into our current toolset
- Write and maintain clean, efficient code in Python and ideally Java to support model integration and deployment
- Evaluate and enhance the performance of deployed models continuously, adapting to the changing needs of the business
- Stay abreast of latest AI/ML technologies and methodologies to foster innovation within the team
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- 3+ years of experience in ML/AI Engineering
- Proven experience in training and deploying machine learning models using Google's AI stack (AI Agent Studio, Gemini, Vertex AI)
- Programming proficiency in Python
- Background in integrating ML models into existing software environments and toolsets
- Excellent problem-solving skills
- Strong capability to work collaboratively with cross-functional teams
- Effective communication skills to explain complex technical concepts to non-technical stakeholders
- Experience in Java
- Bachelor's degree in Computer Science, Data Science, Engineering or a related field; advanced degree preferred
- 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