The Principal Data Scientist ML/DL is a primary driver in the design and development of state-of-the-art Artificial Intelligence solutions for medical applications. The Principal Data Scientist ML/DL works closely with senior data scientists, machine learning engineers, software engineers and subject matter experts on current company technologies and forward-looking projects. They are the drivers of new research and solution implementation in the creation of novel artificial intelligence approaches.
Primary responsibilities include the enhancement of existing company NLP technologies and extension of those systems in new cloud-based applications. Emphasis is on development of novel machine/deep learning techniques for information extraction and synthesis. They translate research code into clinical NLP solutions deployed at scale in production environments including statistical methods, deep learning, and large language model technologies.
Work will involve all aspects of methods development from initial PoC implementation to performance characterization and production launch of new methods.
The successful candidate will have a strong history of publication in Machine/Deep Learning with an emphasis on Natural Language Processing, Information Retrieval and/or Information Extraction. Exposure to recent research literature and the ability to effectively implement current technologies is key. The successful candidate will have proven success in taking machine/deep learning solutions to production environments. Strong technical skills are required.
Key Responsibilities
Lead end-to-end training and fine-tuning of Large Language Models (LLMs), including both open-source (e.g., Qwen, LLaMA, Mistral) and closed-source (e.g., OpenAI, Gemini, Anthropic) ecosystems.
Deep knowledge and extensive experience with Machine/Deep Learning frameworks including transformer architectures, state space models, large language models, and agentic approaches
Knowledge of algorithms and techniques
📌 Principal AI/ML Engineer (Bengaluru)
🏢 Optum India
📍 Bengaluru
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