Provide technical leadership and strategic direction in ML and AI for client engagements

Plan, design and deliver responsible AI systems and measurement strategies aligned with client objectives

Connect across organizational verticals to drive AI adoption and envision new products, solutions and differentiators

Engage with clients to understand business challenges and communicate how ML/AI solutions address their needs

Collaborate with data scientists and engineers, leading teams as both a peer and mentor

Monitor advancements in ML/AI technologies and recommend new approaches considering regulatory impacts

Act as liaison between business, legal and technology stakeholders within EPAM and client organizations

Shape ML solutions, scope and price engagements, and lead transitions from sales to delivery phases

Foster strong client relationships through effective project delivery, communication and issue resolution

Engage executive and C-level stakeholders to drive enterprise-wide AI adoption

Support sales and pre-sales activities by assessing data opportunities, responding to RFPs and creating proposals

Extensive experience in a leadership role within Data Analytics, Machine Learning and AI (minimum 12 years)

Proven track record designing and implementing ML/AI solutions

Deep understanding of machine learning including deep learning, statistics fundamentals, human-computer interaction, CNN/RNN, transformer models, LLMs (RAG), privacy-preserving ML and security fundamentals

Demonstrated experience driving multidisciplinary and geographically distributed teams to deliver AI products

Comfortable engaging and influencing senior stakeholders to secure funding or sell ML/AI projects

Ability to explain complex technical concepts to both technical and non-technical audiences

Proficiency in Python and ML libraries/frameworks such as PyTorch and TensorFlow

Skills in SQL and cloud platforms such as AWS, Azure or GCP

Familiarity with highly regulated industries or technology-adjacent regulatory functions

Excellent problem-solving skills and ability to translate complex business requirements into practical ML/AI solutions