John Snow Labs
51 - 200 employees
Founded 2015
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
🧬 Biotechnology
Artificial Intelligence • Healthcare Insurance • Biotechnology
John Snow Labs is a company specialized in providing AI and NLP solutions tailored for the healthcare sector. They offer a range of products including medical language models, NLP Python libraries, and solutions for clinical text summarization, information extraction, and de-identification. Their Generative AI models excel in processing clinical and biomedical text. The company facilitates the creation and tuning of custom language models and offers managed services for patient cohort creation and risk adjustment. They also focus on responsible AI practices, offering tools to ensure safe and effective language model use, along with medical knowledge graphs and clinical decision support systems. John Snow Labs is recognized for its innovation in healthcare AI and medical document processing, providing solutions that are trusted by pharma and healthcare companies.
Machine Learning Engineer – Large Language Models
Job not on LinkedIn
🕒 March 20
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John Snow Labs
51 - 200 employees
Founded 2015
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
🧬 Biotechnology
Artificial Intelligence • Healthcare Insurance • Biotechnology
John Snow Labs is a company specialized in providing AI and NLP solutions tailored for the healthcare sector. They offer a range of products including medical language models, NLP Python libraries, and solutions for clinical text summarization, information extraction, and de-identification. Their Generative AI models excel in processing clinical and biomedical text. The company facilitates the creation and tuning of custom language models and offers managed services for patient cohort creation and risk adjustment. They also focus on responsible AI practices, offering tools to ensure safe and effective language model use, along with medical knowledge graphs and clinical decision support systems. John Snow Labs is recognized for its innovation in healthcare AI and medical document processing, providing solutions that are trusted by pharma and healthcare companies.
📋 Description
• Adapt LLMs to diverse healthcare use-cases using techniques such as Sparse Fine-Tuning (SFT), Prompt Engineering Fine-Tuning (PEFT), Direct Parameter Optimization (DPO), and Proximal Policy Optimization (PPO). • Optimize LLMs for Retriever-Augmented Generation (RAG) to enhance decision-making and information retrieval capabilities. • Collect, clean, and refine healthcare datasets for training LLMs to ensure high-quality data provisioning. • Convert models into various formats suitable for production environments, ensuring their readiness for real-world application.
🎯 Requirements
• 5+ years of hands-on professional experience in software engineering, building production-grade deep learning solutions. • An academic degree in computer science, data science, or a related degree. M.Sc. or Ph.D. degree is strongly preferred. • Demonstrated expertise in model tuning frameworks like Axolotl. • Familiarity with model serving frameworks, including vLLM, TGI, and llama-cpp, to support the deployment and scalability of machine learning models. • Knowledge of model quantization techniques and frameworks to optimize AI models for performance in resource-constrained environments. • Hands-on experience with Transformer architectures and proficiency in machine learning frameworks such as PyTorch.
🏖️ Benefits
• A fully virtual company, collaborating across 28 countries • Competitive package and compensation plan • Industry leader and respected brand name • Learning and development
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