Senior ML/AI Engineer

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.
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.

• 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

• 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

• Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
• Medicina Prepaga (It covers the collaborator and direct family group)
• Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
• Discounts card
• English Training (English lessons, twice per week)
• Training Program (Access to multiple customized training plans according to the needs of each role within the company)
• Marriage bonus (The company doubles the allowance established by law that ANSES offers)
• Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
• External Agreements and Discounts
• Vacations: 14 calendar days a year