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Data Scientist and LLM Engineer

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 4+ 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.

Average salary estimate

$110000 / YEARLY (est.)
min
max
$90000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
June 6, 2025

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