GlobalLogic is inviting an experienced Large Language Models (LLMs) Engineer to join our engineering team.
Document Completeness Checker: Ensuring that all uploaded customer documents are complete and requesting any missing reference documents necessary for parameter identification.
Expanded Document Constructor: Developing comprehensive versions of both customer requirements and reference project documents by integrating information from referenced documents, including nested references.
Deviation Summarizer: Creating initial summaries of key differences between customer requirements and reference project documents, highlighting critical deviations.
Electrical Component Identification: Utilizing AI-driven object identification algorithms to identify and list electrical components in customer SLD diagrams.
Parameter Extraction & Mapping: Extracting and associating relevant parameters such as dimensions and material properties from customer specifications with the identified electrical components.
User Interface: Developing a user-friendly interface for engineers to review and edit the list of electrical components and corresponding parameters, with future integration with 3D tools in the MVP phase.
Identical Term Presence Parser: Checking for elements missed in the Costing Sheet, focusing on identical terms used across the DoW and Costing Sheets.
3+ years of experience in machine learning and natural language processing.
Proficiency in training and fine-tuning Large Language Models (LLMs).
Experience with RAG architectures and vector databases like Pinecone.
Bachelor’s degree in Computer Science, Engineering, or equivalent.
Excellent problem-solving and analytical skills.
Demonstrated ability to conduct experiments and improve model performance.
Good command of English for effective communication with team members.
Knowledge of Pytorch, Pinecone, LLM fine-tuning, RAG, and vector databases.
Train and fine-tune Large Language Models (LLMs) for various applications.
Implement and optimize Retrieval-Augmented Generation (RAG) architectures.
Work with vector databases like Pinecone to enhance data retrieval capabilities.
Develop and apply data science and machine learning techniques.
Collaborate with cross-functional teams to integrate LLMs into products.
Stay updated with the latest advancements in LLM and machine learning technologies.
Conduct experiments and analyze results to improve model performance.
#LI-NT1 #LI-Remote
We create an environment where everyone can fully realize their talents, freely share knowledge and experience, and create truly important things. Happy people create revolutionary products. We believe that we are able to change the world for the better — and we, as a company, help our specialists grow and be truly happy!
Keep the balance. Work-life balance!
You will have the opportunity to choose where you want to work – at a comfortable office or at home. The choice is not limited to “where”, but also “when” - all of that because of flexible working hours. We will help you to ensure your work-life balance.
Support of health and sports activities
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Relocation Program
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Learning and professional growth!
You’ll collaborate with — and learn from — award-winning designers and engineers through customer projects, hackathons, meetups, and more. Listen to the top speakers or be one of them — it’s up to you!
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