Senior/Lead Generative AI Data Scientist in EPAM Systems

Direct message the member who posted the job with EPAM Systems Irina Benko Looking for Senior Data Scientists and Machine Learning Engineers, Lead or Senior .Net Developers, Data Software Engineers and Senior Python… We are looking for a highly skilled Generative AI Data Scientist. As a Generative AI Data Scientist, you will be instrumental in evaluating use cases, planning architecture and development, and directly developing and implementing state-of-the-art generative models to solve complex business challenges. Your expertise in machine learning, deep learning and statistical modeling will contribute to the advancement of EPAM's offering. In this position, you will have an exciting opportunity to apply advanced methods and expand the boundaries of AI technology in your work. The option of remote work is open only to those candidates who are located on the territory of Ukraine. Skills Hands-on experience developing and implementing generative models such as GAN, VAE or deep generative models High level of command of programming languages ​​such as Python with experience using deep learning frameworks such as TensorFlow or PyTorch Good understanding of machine learning, deep learning and statistical modeling concepts Experience working with large data sets and pre-processing methods Excellent knowledge of data visualization tools and exploratory analysis Good problem-solving skills and ability to think creatively to develop innovative solutions Excellent written and verbal communication skills with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences Hands-on experience working in a team and participation in cross-functional projects Ability to conduct research and learn independently, desire to be aware of the latest advances in the field of generative AI and related fields Responsibilities Research and development: conduct research and be aware of the latest advances in the field of generative AI, deep learning and related fields. Research and experiment with different generative models, architectures and algorithms to expand the company's capabilities Model development: design, develop and implement new generative models adapted to specific use cases. Build 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 industry experts to preprocess and clean large-scale datasets data Apply statistical techniques and data augmentation methods to ensure high quality input data for training generative modelsNavmodel learning and evaluation: train and tune generative models on large-scale datasets using techniques such as transfer learning and unsupervised learning. Develop evaluation metrics and benchmarks to evaluate model performance and generate insights for model improvement Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, insurance experts, and user experience designers to integrate generative models into real-world applications. Provide technical guidance and support for the successful implementation and deployment of generative AI solutions Innovation and Optimization: Continually explore new techniques, frameworks and tools to optimize and improve the performance of generative models. Stay abreast of emerging industry trends and best practices and contribute to the organization's data processing capabilities Documentation and Reporting: Prepare clear and concise technical documentation, including model architectures, methodologies, and experimental results. Present findings and advice to both technical and non-technical stakeholders, facilitating knowledge sharing and decision-making processes An advantageExperience with natural language processing (NLP) and text generation modelsKnowledge of cloud-based machine learning platforms and generative artificial intelligence services such as Azure (Open AI, ChatGPT ), Google Cloud or AWS Ability to work with parallel computing and distributed training frameworks Availability of publications or contribution to the efforts of the research community in the field of generative artificial intelligence or related disciplines With us you can work on a flexible schedule remotely or in any of our comfortable offices or coworking spaces in Ukraine Get what you need equipment to perform work tasksChange projects and technology stack within EPAMGet experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Traveling, Media, Artificial Intelligence and others) Consider options for relocation to more than 30 countries around the worldJoin volunteer, charity programs and communities (both in technical directions and interests) We will help you in your professional development client interviews, etc.)Get the opportunity to undergo free training and certification with AWS, GCP or Azure CloudsUse the internal training program E-learn (18,200+ specialized training and mentoring programs)Get access to corporate accounts on LinkedIn Learning, Get Abstract and other partners resources Learn at Solution Architecture School with practicing architects as teachers Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and others Get taught in internal communities (500+ meetings, technical discussions, brainstorming sessions, online events and conferences every year) What we offerVacation and sick days (vincluding without a medical certificate) A wide range of insurance programs of the Voluntary Medical Insurance (VMI) with the provision of both medical treatment and various preventive options (including sports activities) Issuance of medical insurance for family members at corporate rates Support from the company during significant life events ( birth or adoption of a child, marriage, etc.) Psychological comfort support: discounts on the services of mental health specialists or coaches, thematic trainings E-kids - a free programming language training program for children of EPAM-ers Pleasant corporate gifts About EPAMERAM strives to provide its global team with over 53,150+ professionals in more than 55 countries opportunities for professional growth from the first day of cooperation. Our colleagues are the source of ERAM's success, so we value cooperation, always try to understand our clients' business and strive for the highest quality standards. No matter where you are, you'll join a dedicated, diverse community that will help you reach your fullest potential Show more Show less Position level Senior secondary level Type of employment Full-time Job responsibilities Engineering and Information Technologies Industries IT services and IT Consulting