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.
#LI-DNI
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
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- 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
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- International Mobility Plan within 25 countries
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee's initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and dress code
- Collaborate in a multicultural environment and share best practices from around the globe
- Hired directly by EPAM & 100% under payroll
- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
- 13 % employee savings fund, capped to the law limit
- Grocery coupons
- 30 days December bonus
- Employee Stock Purchase Plan
- 12 vacations days plus 4 floating days
- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
- Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more
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