We are seeking a talented and experienced Data Scientist to work on generative AI solutions across various industries and use cases. You will leverage your machine learning expertise to tackle complex business challenges for EPAM's clients, applying the latest advancements in data science and AI to texts, images, videos, and other data types. You will collaborate with cross-functional teams of engineers, scientists, and product managers, playing a key role in advancing generative AI from concept to implementation.
The remote option applies only to the Candidates who will be working from any location in Ukraine.

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Responsibilities

• Act as a leader in generative AI, identifying business scenarios where generative AI can be effectively applied
• Research, design, and prototype cutting-edge generative AI approaches, evaluate their feasibility, explore existing scientific research, and implement and validate solutions for real-world use cases
• Collaborate closely with the ML engineering team across all stages, from research to the implementation of generative AI solutions
• Work with product managers and other business stakeholders to shape a clear vision of the technology and its practical applications
• Present results to stakeholders, effectively communicating both the technical and business aspects of the solutions

• 5+ years of experience in Data Science, focusing on developing generative models (LLMs, GANs, VAEs, Diffusion models)
• Experience with computer vision and natural language processing, including working with multimodal data (images, text, audio, and more)
• Familiarity with OpenAI GPT-x and experience in fine-tuning models
• Proven ability to write production-ready code using best engineering practices
• Strong programming skills in Python
• Proficiency with at least one deep learning framework such as PyTorch, TensorFlow, etc
• Experience optimizing deep learning models for production
• Hands-on experience with at least one cloud platform (e.g., AWS, Azure, GCP)
• Excellent communication skills
• Written and spoken English proficiency at Upper-Intermediate (B2+) level or higher

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children