Guide technical strategy and leadership in ML and AI across client projects

Design and implement responsible AI frameworks and measurement aligned with business goals

Facilitate AI adoption and innovation by connecting different organizational units

Engage with clients to identify challenges and illustrate how ML/AI can solve them

Lead and mentor teams of data scientists and engineers as a collaborative partner

Track latest ML/AI technology trends and advise on new methods considering regulations

Serve as the key liaison between business, legal, and technical teams within EPAM and client companies

Define ML project scopes, pricing, and lead handoffs between sales and delivery

Build and maintain strong client partnerships via clear communication and issue management

Drive enterprise-level AI adoption by collaborating with executive and C-suite stakeholders

Support sales efforts by evaluating data opportunities, responding to RFPs, and preparing proposals

Extensive leadership experience in Data Analytics, Machine Learning, and AI of at least 12 years

Proven expertise in designing and deploying ML/AI solutions

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

Demonstrated ability to lead geographically dispersed, multidisciplinary teams delivering AI products

Skilled in influencing senior stakeholders to secure project funding and sell AI initiatives

Strong communication skills to convey complex technical concepts to diverse audiences

Proficient in Python and ML frameworks such as PyTorch and TensorFlow

Experience with SQL and cloud platforms including AWS, Azure, or GCP

Familiarity with regulated industries or technology-related compliance functions

Excellent problem-solving capabilities to translate business needs into ML/AI solutions