Maintain a leadership position in generative AI, deep learning, and related fields through continuous research
Design, develop, and deploy tailored generative models for specific use cases
Collaborate with data engineers and domain experts to process and enhance large-scale datasets
Train and assess generative models using extensive datasets to establish effectiveness and drive improvements
Partner with a diverse team, providing technical guidance and support for the seamless integration and deployment of generative AI solutions
Explore new methods and tools to enhance generative model performance and keep abreast of industry trends
Compile detailed technical documentation and communicate findings to aid organizational decisions and knowledge sharing

Requirements

Extensive experience in building and applying generative models, such as GANs, VAEs, and deep generative models
Proficiency in programming languages like Python, and in deep learning frameworks like TensorFlow or PyTorch
Solid understanding of machine learning, deep learning, and statistical modeling concepts
Background in managing large-scale datasets and implementing preprocessing techniques
Skills in data visualization and exploratory analysis tools
Exceptional problem-solving capabilities with a capacity to develop new solutions
Strong communication skills for articulating complex topics to diverse audiences
Demonstrated ability to collaborate and contribute to complex projects
Strong research and self-learning qualities, with a passion for staying updated on generative AI and related technologies

Nice to have

Background in 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
Contributions to the research community in generative AI or related fields

We offer/Benefits

With us you can:

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)
Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

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)

What we offer:

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

Data Science