Chief ML/AI Engineer

We are excited to announce an opportunity for a Chief ML/AI Engineer to lead our innovative team. In this paramount role, the chosen candidate will spearhead the advancement of user experiences and operational efficiencies by orchestrating the development and integration of sophisticated machine learning models within our frameworks.

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Responsibilities

• Oversee the design, development, and training of machine learning models using Google's AI stack, including AI Agent Studio, Gemini, and Vertex AI
• Lead cross-functional teams to develop AI-driven solutions like enhancing sales team efficiency through an AI assistant and maintaining a dynamic document base analyzer
• Steer the integration process of trained machine learning models into the existing toolset, ensuring optimal functionality and user experience
• Supervise and guide the writing of clean, efficient code in Python, with proficiency in Java being highly beneficial, to assist model integration and deployment
• Direct the continuous evaluation and enhancement of model performance to meet and surpass business requirements
• Champion innovation by keeping the team updated with cutting-edge AI/ML technologies and methodologies

• 7+ years of experience in ML/AI Engineering
• 2+ years of relevant leadership experience (team up to 10 FTEs)
• Extensive experience in training, deploying, and managing machine learning models using Google's AI stack (AI Agent Studio, Gemini, Vertex AI)
• Advanced programming skills in Python with strong experience in Java
• Strong background in leading the integration of ML models into complex software environments and toolsets
• Exceptional problem-solving skills and strategic thinking
• Proven leadership skills with the ability to manage and inspire cross-functional teams
• Superior communication skills with proficiency in conveying complex technical concepts to non-technical stakeholders

• 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