Design solutions utilizing NLP models including chat assistants and RAG systems.
Design and develop custom NLP LLM Models including both prompt engineering techniques and model fine-tuning and alignment (SFT, RLHF, DPO)
NLP Model evaluation using both human-supported and synthetic evaluation methods and metrics.
Deploy NLP models ensuring latency, reliability, and scalability.
Discover new methods for prompt engineering, model fine-tuning, quantization and latency optimization, document embeddings and chunking.
Collaborate closely with product teams, business stakeholders, and engineers to ensure smooth integration of NLP models into production systems.
Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
Actively research, explore and identify the latest relevant methods and technologies

5-9 years of professional experience in Advanced Analytics / Data Science / Machine Learning
Degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.
Good understanding of machine learning and deep learning methods and their mathematical foundations
5-9 years hands-on experience developing NLP models, ideally with transformer architectures.
Demonstrated experience with Python, PyTorch, Hugging Face or similar tools.
Mastery of Python and ability to write robust and high standard, testable code
Knowledge of developing or tuning LLMS

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Senior Data Scientist

Key skills