Senior/Lead Generative AI Data Scientist in EPAM Systems

Direct message the member who posted the job with EPAM Systems Irina Benko Irina Benko Looking for Senior MLE, DS, MLOps and .Net Developers in Ukraine, Senior and Lead MS Dynamics CRM and PowerApps Software Engineers (Greece… 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 modeling 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. ResponsibilitiesResearch 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 improvementsCollaboration: 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 technicall 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 processesRequirementsProven experience in developing and implementing generative models, such as GANs, VAEs, or deep generative modelsStrong proficiency in programming languages such as Python, with experience using deep learning frameworks such as TensorFlow or PyTorchSolid understanding of machine learning, deep learning, and statistical modeling conceptsExperience working with large-scale datasets and preprocessing techniquesProficiency in data visualization and exploratory analysis toolsStrong problem-solving skills and ability to think creatively to design innovative solutionsExcellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiencesProven ability to work collaboratively in a team environment and contribute to cross-functional projectsStrong research and self-learning abilities, with a passion for staying up-to-date with the latest advancements in generative AI and related fieldsNice to haveExperience with natural language processing (NLP) and text generation modelsFamiliarity with cloud-based machine learning platforms and Generative AI services, such as Azure (Open AI, ChatGPT), Google Cloud or AWSKnowledge of parallel computing and distributed training frameworksPublications or contributions to the research community in the field of generative AI or related disciplinesWe OfferCompetitive compensation depending on experience and skillsThe individual career pathSocial packageEnglish classes with certified English teachersUnlimited access to LinkedIn learning solutionsFlexible work hoursAbout EPAMEPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential. EPAM is committed to providing our global team of 53,150+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Повний робочий деньJob responsibilities Engineering and Information Technologies Industries IT services and IT Consulting