We are seeking an experienced Senior Machine Learning Researcher to join our team.

The ideal candidate will focus on developing and implementing state-of-the-art Large Language Models (LLMs) tailored to the oil and gas industry. This role involves collaborating with cross-functional teams to design, develop, and deploy LLM-based solutions that address industry-specific challenges, optimize performance, and ensure data privacy and security compliance.
The remote option applies only to the Candidates who will be working from any location in Ukraine.

#LI-DNI

Responsibilities

• Develop and implement state-of-the-art LLMs tailored to the oil and gas industry
• Collaborate with cross-functional teams to define and solve business problems using LLM solutions
• Design, develop, and deploy LLM-based applications in various oil and gas domains, such as exploration and production
• Conduct in-depth data analysis and perform feature engineering to enhance LLM performance
• Fine-tune pre-trained LLMs or develop custom models for specific industry challenges
• Keep abreast of the latest advancements in LLM research and integrate them into existing models
• Provide mentorship to junior data scientists and engineers on LLM development
• Ensure compliance with data privacy and security standards during the LLM development lifecycle

• 3+ years of experience in Machine Learning and Large Language Models (LLMs)
• Strong knowledge of natural language processing, text generation, and information extraction
• Experience with Pytorch, training on On-prem/Azure, and interactive training environments
• Proficiency in numpy and other relevant data analysis tools
• Demonstrated ability in feature engineering and optimizing machine learning models
• Familiarity with data privacy and security practices in model development
• Ability to work collaboratively in a cross-functional team environment
• Excellent problem-solving skills and ability to think critically

• Qualification in Geology, Physics
• Prior experience in the oil and gas industry
• Published research in relevant machine learning fields

• 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