Direct technical strategy and leadership in ML and AI for client projects

Design and implement responsible AI frameworks and performance metrics consistent with client goals

Facilitate organizational AI adoption and ideate new AI-driven products and differentiators

Engage clients to grasp their challenges and articulate ML/AI value propositions

Lead and mentor data science and engineering teams collaboratively

Keep abreast of ML/AI advances and recommend innovative, regulation-aware solutions

Serve as liaison among business, legal, and technology stakeholders within EPAM and clients

Scope ML engagements, manage pricing, and oversee transitions from sales to delivery

Maintain strong client relationships through effective communication and issue resolution

Collaborate with executive and C-level stakeholders to promote enterprise AI adoption

Support sales and pre-sales activities by evaluating data opportunities, responding to RFPs, and drafting proposals

Minimum 12 years of leadership experience in Data Analytics, Machine Learning, and AI

Track record of designing and deploying ML/AI solutions

Comprehensive understanding of machine learning including deep learning, statistics, HCI, CNN/RNN, transformer models, LLMs (RAG), and privacy/security principles

Experienced in managing geographically dispersed, multidisciplinary AI teams

Skillful in influencing senior stakeholders to secure funding or approve AI projects

Ability to explain complex technical content to technical and non-technical audiences

Proficient in Python and ML frameworks such as PyTorch and TensorFlow

Knowledgeable in SQL and cloud platforms like AWS, Azure, or GCP

Familiarity with regulated industries or technology-related regulatory functions

Strong analytical abilities to translate business needs into ML/AI solutions