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  • All offersWrocławDataLarge Language Models (LLMs) Engineer IRC229116
    Large Language Models (LLMs) Engineer IRC229116
    Data
    GlobalLogic

    Large Language Models (LLMs) Engineer IRC229116

    GlobalLogic
    Wrocław
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent
    Operating mode
    Hybrid

    Tech stack

      Machine Learning

      advanced

      Data Science

      advanced

    Job description

    Online interview

    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.


    Requirements:

    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.


    Responsibilities:

    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


    What Do We Offer?


    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

    We care about the health of all specialists. Every employee can take advantage of the following:

    • Private medical care – your well-being is crucial to us. You can choose one of many options, including the one which takes care of your loved ones.
    • Multikafeteria platform – this feature allows you to use sports facilities cards, attend cultural events or buy sports equipment or books. You choose from a vast variety of possibilities.
    • Life and travel insurance – our partners provide our consultants with a special group life insurance package.


    Relocation Program 

    We encourage you to discover a brand-new experience. GlobalLogic's offices in EMEA regions will meet you with maximum hospitality and the same corporate culture, processes, and possibilities.


    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! 


    Create more than just a code. Make an impact beyond the code! 

    In today's world, software engineers create a better future for people and the planet. GlobalLogic’s experts are contributing to this world right now in various projects: from automotive to healthcare!


    Sustainability and Social Responsibility

    We positively impact our communities by supporting education and the environment, and by developing women in tech, and the arts. For example, learn more about our EcoHike — a special app that makes the world cleaner! Not only our engineers, but tourists, eco-activists, and hiking fans are using it regularly to keep our nature clean and vital.


    Technology first!

    Realize all your ideas within our internal tech clubs and groups. Feel free to find new friends, boost your skills, and grow professionally!