We are seeking a highly skilled and innovative Generative AI Data Scientist to join our team. As a Generative AI Data Scientist, you will play a critical role in use case evaluation, architecture and development planning, developing and implementing state-of-the-art generative models to solve complex business problems. Your expertise in machine learning, deep learning, and statistical modelling will contribute to the advancement of EPAM. This is an exciting opportunity to apply cutting-edge techniques and push the boundaries of AI technology.
The remote option applies only to the Candidates who will be working from any location in Ukraine.

#LI-DNI#LI-IRINABENKO

• Research and Development: Conduct research and stay up-to-date with the latest advancements in generative AI, deep learning, and related fields. Explore and experiment with different generative models, architectures, and algorithms to enhance our capabilities
• Model Development: Design, develop, and implement novel generative models tailored to specific use cases. Create and optimize deep neural networks, variational autoencoders (VAEs), generative adversarial networks (GANs), or other generative architectures to generate realistic and diverse synthetic data
• Data Preprocessing: Work closely with data engineers and domain experts to preprocess and clean large-scale datasets. Apply statistical techniques and data augmentation methods to ensure high-quality input data for training generative models
• Model Training and Evaluation: Train and fine-tune generative models using large-scale datasets, leveraging techniques such as transfer learning and unsupervised learning. Develop evaluation metrics and benchmarks to assess model performance and generate insights to guide model improvements
• Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, insurance experts and experience designers, to integrate generative models into real-world applications. Provide technical guidance and support to ensure successful implementation and deployment of generative AI solutions
• Innovation and Optimization: Continuously explore new techniques, frameworks, and tools to optimize and enhance the performance of generative models. Stay informed about emerging trends and best practices in the field and contribute to the advancement of the organization's data science capabilities
• Documentation and Reporting: Prepare clear and concise technical documentation, including model architectures, methodologies, and experiment results. Present findings and insights to both technical and non-technical stakeholders, contributing to knowledge sharing and decision-making processes

• Proven experience in developing and implementing generative models, such as GANs, VAEs, or deep generative models
• Strong proficiency in programming languages such as Python, with experience using deep learning frameworks such as TensorFlow or PyTorch
• Solid understanding of machine learning, deep learning, and statistical modeling concepts
• Experience working with large-scale datasets and preprocessing techniques
• Proficiency in data visualization and exploratory analysis tools
• Strong problem-solving skills and ability to think creatively to design innovative solutions
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences
• Proven ability to work collaboratively in a team environment and contribute to cross-functional projects
• Strong research and self-learning abilities, with a passion for staying up-to-date with the latest advancements in generative AI and related fields

• Experience with natural language processing (NLP) and text generation models
• Familiarity with cloud-based machine learning platforms and Generative AI services, such as Azure (Open AI, ChatGPT), Google Cloud or AWS
• Knowledge of parallel computing and distributed training frameworks
• Publications or contributions to the research community in the field of generative AI or related disciplines

• 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