Lead the development and execution of ML and AI technical strategies for client projects

Create responsible AI systems and metrics that support client objectives

Promote AI integration by coordinating across organizational departments

Work closely with clients to understand their challenges and demonstrate ML/AI benefits

Manage and mentor data science and engineering teams as both leader and collaborator

Stay updated on ML/AI innovations and suggest new approaches mindful of regulatory issues

Act as intermediary among business, legal, and technology groups within EPAM and client sides

Outline ML solution scopes, manage pricing, and oversee project transitions from sales to delivery

Cultivate client relationships through clear communication and effective project management

Engage senior executives and C-level stakeholders to champion enterprise AI adoption

Assist sales teams with data opportunity assessments, RFP responses, and proposal development

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

Demonstrated success in building and implementing ML/AI solutions

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

Proven leadership of geographically distributed, multidisciplinary AI teams

Ability to persuade senior stakeholders to fund or purchase ML/AI projects

Effective in explaining complex technical topics to both technical and non-technical stakeholders

Hands-on experience with Python and ML frameworks like PyTorch and TensorFlow

Knowledge of SQL and cloud services such as AWS, Azure, or GCP

Experience with regulated industries or related compliance functions

Strong analytical skills to convert complex business needs into ML/AI applications