This Remote Position Cannot be Performed in New York City.
Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast-paced entrepreneurial engineering environment and take ownership of critical technical and business decisions that directly impact EPAM and our clients?
As one of the world's leading digital transformation service providers, we are looking to aggressively expand our Data Practice across North America to meet increasing client demand for our services. We are looking for people at the Senior Director and Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).

• Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development, and implementation of ML/AI solutions for clients
• Connect across the organization to drive AI adoption in verticals, envision new products, solutions, offerings, and other differentiators
• Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
• Collaborate with cross-functional teams to define project scope, develop datasets, and apply appropriate ML algorithms to deliver high-quality solutions
• Leveraging your technical expertise and engaging senior decision-makers
• Shape ML solutions and properly scope/price engagements, establishing optimal operating models and project team organization, and leading the transition from the sales process to the delivery phase
• Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution
• Engage client stakeholders, including executive / C-level, helping them drive enterprise-wide agenda to maximize AI adoption
• Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate
• Support sales / pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations

• Strong experience in a senior/leadership role within Data & Analytics/ML/AI as well as a proven track record in designing and implementing ML/AI solutions
• Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models, etc
• Solid understanding of ML algorithms, both classical and Deep Learning based
• Demonstrated leadership experience, driving internal and external multi-dimensional teams to deliver AI products
• Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
• Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong client relationships
• Technical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow
• Excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions
• Bachelor's or master's degree in Computer Science, Data Science, or a related field or relevant work experience

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off - the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
• Paid Holidays - nine (9) total per year
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance
• Employee Stock Purchase Program
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program