We are currently seeking a motivated and innovative Lead Generative AI Data Scientist to join our dynamic team.
In this crucial position, you will spearhead key use case evaluations, architectural designs, and the creation of innovative generative models that tackle complex business challenges. Your understanding of machine learning, deep learning, and statistical modeling will significantly contribute to EPAM’s advancements. Utilize your abilities to propel the boundaries of AI technology in this exciting role.
The remote option applies only to the Candidates who will be working from any location in Ukraine.
RESPONSIBILITIES
- 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
- 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