• 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 an 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 accessing 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
• 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 selling 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 analyze 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

Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models, etc

• 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
• The range provided reflects base salary only

Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations

• Most candidates are hired at a salary within the range disclosed
• Salary range: $220,000 - $250,000

In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position