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Senior/Lead Generative AI Data Scientist in EPAM Ukraine

Posted more than 30 days ago

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EPAM Ukraine
EPAM Ukraine
Software Engineering & Product Deve
5
1 review
Yuliia Dieriugina
Yuliia Dieriugina
Talent Acqisition Operations Specialist
More than 5 years
Intermediate
Full-time work

Translated by Google

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.

We are looking for a highly skilled Generative AI Data Scientist. As a Generative AI Data Scientist, you will be instrumental in assessing 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 advancing EPAM's offering. In this position, you will have the exciting opportunity to apply cutting-edge techniques and push the boundaries of AI technology in your work.

Skills

  • Advanced degree (preferably Ph.D) in computer science, data science, statistics, or related field
  • Hands-on experience in developing and implementing generative models such as GAN, VAE or deep generative models
  • Strong 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 with large datasets and preprocessing techniques
  • 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
  • Practical experience of working in a team and participating in cross-functional projects
  • The ability to conduct research and study independently, the desire to be aware of the latest developments in the field of generative AI and related fields

Duties

  • Research and Development: Conduct research and stay abreast of the latest advances in generative AI, deep learning, and related fields. Research and experiment with various 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. Apply statistical techniques and data augmentation techniques to ensure high quality input data for training generative models
  • Model Training 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 new trends and best practices in the industry and contribute to the improvement of 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

Will be an advantage

  • Experience with natural language processing (NLP) and text generation models
  • Knowledge of cloud 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 contributions to research community efforts 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 co-working spaces in Ukraine
  • Get the necessary equipment to perform work tasks
  • Change projects and technology stack within EPAM
  • Gain 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 world
  • Join volunteer, charitable programs and communities (both in technical directions and interests)

We will help you in professional development

  • Plan your individual career path together with the manager
  • Get regular feedback from colleagues
  • Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
  • Get free training and certification with AWS, GCP or Azure Clouds
  • Use 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 partner resources
  • Study at Solution Architecture School with practicing architects as teachers
  • Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and others
  • Be taught in internal communities (500+ meetings, technical discussions, brainstorming sessions, online events and conferences every year)

What we offer

  • Vacation and sick days (including 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 health insurance for family members at corporate rates
  • Support from the company during significant life events (birth or adoption of a child, marriage, etc.)
  • Support for psychological comfort: discounts on the services of mental health specialists or coaches, thematic trainings
  • E-kids is a free programming language training program for children of EPAM-ers
  • Pleasant corporate gifts

About EPAM

  • ERAM is committed to providing its global team of more than 60,000+ professionals in more than 45 countries with 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 full potential

Specializations: Others
Keywords: data, senior/lead, scientist, ai, generative

Translated by Google

More than 5 years
Intermediate
Full-time work
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