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.
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.

• 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

• 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