ML/AI Engineering Team Lead

Role Summary

We are excited to announce an opening for an ML/AI Engineering Team Lead at our driven team. This pivotal position entails leading the development and integration of sophisticated machine learning models to enhance user experience and optimize operational efficiency. The successful candidate will spearhead our AI initiatives and guide a team of engineers in leveraging cutting-edge technologies.

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.

Responsibilities - Lead the design, development, and training of machine learning models using Google's AI stack including AI Agent Studio, Gemini, and Vertex AI

• Direct and support cross-functional teams in creating AI solutions such as a Sales team assistant and document base analyzer
• Oversee the seamless integration of trained machine learning models into the existing toolset
• Mentor team members in writing and maintaining clean, efficient code in Python and ideally in Java
• Supervise the continuous evaluation and enhancement of deployed models to meet the evolving demands of the business
• Keep the team updated with the latest AI/ML technologies and methodologies, promoting ongoing innovation

Requirements - 5+ years of experience in ML/AI Engineering

• 1+ years of leadership experience
• Extensive experience in training and deploying machine learning models using Google's AI stack (AI Agent Studio, Gemini, Vertex AI)
• Expert programming skills in Python
• Proven track record in leading the integration of ML models into software environments and toolsets
• Strong leadership and problem-solving abilities
• Excellent skills in managing and collaborating with cross-functional teams
• Superior communication skills for effectively articulating complex technical concepts to diverse stakeholders

Nice to have - Experience in Java

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred

We offer - 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

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