Data Scientist and LLM Engineer

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.
  
  

• 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.
  
  

• 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.
  
  

• 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.