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We are looking for a Data Science Consultant to lead the strategic development and deployment of cutting-edge ML and AI solutions for our clients.

This role bridges business goals with innovative AI technologies, ensuring successful delivery and promoting AI integration across enterprises. Join us to guide multidisciplinary teams and help clients harness AI for transformative outcomes.

Responsibilities

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

Requirements

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

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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