Senior Data Scientist

Are you looking for a challenging yet rewarding project that will leverage the best of your decision-making and engineering excellence?

At DIAL we strive to maintain a delicate balance between the constantly evolving LLM landscape, the demands and scales of enterprise customers, and the restrictions that come with developing an open-source multimodal LLM and Application Orchestration platform under the Apache 2 license, all while ensuring ease of use and deployment and constantly delivering new features.

Using DIAL as a foundation, we build a variety of practical solutions that can be customized for specific needs, such as StatGPT, a talk-to-your-data platform adopted by the International Monetary Fund and World-Bank. Imagine a future where accessing and understanding complex datasets is as easy as asking a question. With Project StatGPT, that future is now. We're on a mission to democratize data access through the power of Large Language Models (LLMs) based on Natural Language Processing (NLP). StatGPT is designed to bridge the gap between vast data repositories and the business people who need insights from them, using intuitive, conversational interfaces.

To excel in this position, there are specific abilities and skills that are essential. Yet, we understand that not everyone may possess every desired skill initially. If you are confident in your capacity to learn and adapt, we welcome you to develop any missing skills through hands-on experience once you're on board. Tell us what your strong side is and we will find the right task for you

Responsibilities

• Design and develop AI/ML-enabled solutions to search, visualize and explain data from various sources (data warehouses, databases)
• Compare performance of different LLMs for particular business problems
• Test and evaluate AI/ML solution with objective to meet defined criteria for accuracy and coherence
• Contribute to continuous improvement of solution performance and cost efficiency
  
  
  

Requirements

• University degree in Computer Science, Data Science or equivalent practical experience
• Deep understanding of capabilities and challenges of applying Generative AI in business context
• Familiarity with GenAI/LLM frameworks (e.g. Langchain, LlamaIndex, haystack)
• Proficiency in Python and hands-on experience with ML frameworks and platforms (e.g. Tensorflow, PyTorch, MLflow)
• Experience working with multi-dimensional data cubes and building analytics on top of them
• Ability to work in cross-functional teams in a dynamic business environment based on agile development principles
• Capability to describe business use-cases, implementation vision and technology choices for both technical and non-technical audiences
  
  
  

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
  
  
  

EPAM strives to provide its global team of over 52,800+ professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.