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.ResponsibilitiesDevelop and implement state-of-
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.ResponsibilitiesDevelop and implement state-of-the-art LLMs tailored to the oil and gas industryCollaborate with cross-functional teams to define and solve business problems using LLM solutionsDesign, develop, and deploy LLM-based applications in various oil and gas domains, such as exploration and productionConduct in-depth data analysis and perform feature engineering to enhance LLM performanceFine-tune pre-trained LLMs or develop custom models for specific industry challengesKeep abreast of the latest advancements in LLM research and integrate them into existing modelsProvide mentorship to junior data scientists and engineers on LLM developmentEnsure compliance with data privacy and security standards during the LLM development lifecycleRequirements3+ years of experience in Machine Learning and Large Language Models (LLMs)Strong knowledge of natural language processing, text generation, and information extractionExperience with Pytorch, training on On-prem/Azure, and interactive training environmentsProficiency in numpy and other relevant data analysis toolsDemonstrated ability in feature engineering and optimizing machine learning modelsFamiliarity with data privacy and security practices in model developmentAbility to work collaboratively in a cross-functional team environmentExcellent problem-solving skills and ability to think criticallyNice to haveQualification in Geology, PhysicsPrior experience in the oil and gas industryPublished research in relevant machine learning fieldsWe offerWork on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in UkraineReceive the necessary equipment to perform your work tasksChange projects and technology stacks within EPAMGain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)Consider relocation options in over 30 countries worldwideParticipate 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 colleaguesImprove 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 CloudsUse the internal E-learn training program (18,200+ specialized training and mentoring programs)Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resourcesStudy at EPAM Solution Architecture School with the instructors who are practicing architectsDevelop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and moreParticipate 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 ratesCompany support during significant life events (childbirth or adoption, marriage, etc.)Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic trainingE-kids program - a free programming language training program for EPAMers' childrenEPAM 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.
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Розробка програмного забезпечення і ІТ-послуги та ІТ Консалтинг