What are the responsibilities and job description for the Junior Data Scientist and LLM Engineer position at abra R&D Solutions (formerly Devalore)?
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.
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 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.
- 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.
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