Senior Machine Learning Researcher

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

Requirements

• 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

Nice to have

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

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.