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

Develop responsible AI solutions and measurement approaches aligned with client needs

Drive AI adoption by connecting various organizational layers and envisioning new products

Collaborate with clients to identify problems and demonstrate ML/AI solution effectiveness

Lead and support data scientists and engineers as a mentor and peer

Monitor advancements in ML/AI tech and propose novel approaches considering regulatory factors

Facilitate communication between business, legal, and technical stakeholders within EPAM and clients

Define ML project scopes, pricing strategies, and manage transitions between sales and delivery

Strengthen client relationships through transparent communication and problem-solving

Engage executive and C-level leaders to promote enterprise-wide AI usage

Support sales and pre-sales with data opportunity analysis, RFP responses, and proposal creation

Leadership experience of 12+ years in Data Analytics, Machine Learning, and AI

Proven ability to design and execute ML/AI projects

Strong knowledge of machine learning including deep learning, statistics fundamentals, HCI, CNN/RNN, transformer models, LLMs (RAG), and privacy/security in ML

Experienced in leading multidisciplinary, geographically distributed AI teams

Adept at influencing senior stakeholders to fund or approve ML/AI initiatives

Capable of communicating complex technical ideas to varied audiences

Proficient with Python and ML libraries such as PyTorch and TensorFlow

Familiar with SQL and cloud platforms like AWS, Azure, or GCP

Experience in regulated sectors or technology regulatory functions

Strong problem-solving skills to align business requirements with ML/AI solutions