Junior Data Scientist and LLM Engineer

center, Center District, IL

abra

Abra.it - יוצרת פתרונות טכנולוגיים כגון: CRM | ERP | R&D Solutions | IB ו Marketing Automation של היצרנים המובילים בארץ ובעולם

View all jobs at abra

Apply now Apply later

Description

abra R&D is seeking an experienced Algorithm and Signal Processing Engineer

We are seeking a Data Scientist and LLM Engineer with a strong background in Python and hands-on experience in developing and implementing advanced ML and NLP solutions. 

  • The ideal candidate will bring in-depth technical skills and industry experience to design, develop, and optimize AI/ML models, particularly Large Language Models (LLMs), to address complex challenges in our target sectors ementation in simulation environments.
  • Support software, hardware, and firmware teams in implementing algorithms on embedded systems.

Responsibilities

  • Design, develop, and deploy cutting-edge causal inference and AI models to solve complex problems in user behavior, root cause analysis, gaming and mobile applications domains.
  • Develop Python-based solutions for data processing, model training, and deployment in production environments.
  • Collaborate with cross-functional teams to integrate AI/ML solutions into enterprise-grade applications.
  • Conduct research on the latest advancements in AI, ML, and LLMs to maintain competitive edge.
  • Optimize and fine-tune LLMs for performance, scalability, and cost efficiency.
  • Analyze and process large datasets to extract actionable insights that drive business value.
  • Develop and maintain robust, scalable, and efficient codebases and documentation.

Requirements

  • Master’s or Ph.D. in Computer Science, Electrical Engineering, Mathematics or a related field.
  • Minimum 1+ years of experience in Python, with strong expertise in designing and implementing ML pipelines.
  • Extensive experience with NLP frameworks and libraries (e.g., Transformers, PyTorch, OpenAI APIs, etc.).
  • Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing is an advantage.
  • Proven ability to deploy AI/ML models in production environments with a focus on scalability and robustness.
  • Experience with Generative AI, Large Language Models (LLMs), and Transformer architectures.
  • Excellent understanding of unstructured and semi-structured data processing techniques.
  • Demonstrated problem-solving skills with a critical and creative mindset.
  • Exceptional communication skills and a collaborative approach to teamwork.

Why Join Us

  • Be part of a forward-thinking start-up company pushing the boundaries of AI and ML.
  • Collaborate with a talented team dedicated to innovation and excellence.
  • Opportunities for professional growth and development in cutting-edge technologies.
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  4  0  0

Tags: APIs Architecture AWS Azure Causal inference Computer Science Engineering GCP Generative AI LLMs Machine Learning Mathematics ML models Model training NLP OpenAI Pipelines Python PyTorch R R&D Research Transformers

Perks/benefits: Career development

Region: North America
Country: United States

More jobs like this