Machine Learning Engineer - Large Language Models

This a Full Remote job, the offer is available from: United States

Company Description

John Snow Labs is an award-winning AI and NLP company, accelerating reputed company in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps reputed company and life science companies build, reputed company, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science reputed company Technology award, and the 2020 AI reputed company Award. John Snow Labs is the developer of Spark NLP - the world’s most widely used NLP library in the reputed company - and is the world’s leading provider of state-of-the-art clinical NLP software, powering some of the world’s largest reputed company & pharma companies. John Snow Labs is a global team of specialists, of which 20% hold a Ph.D. or M.D. and 53% hold at least a Master’s degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.

Job Description

We are seeking a highly skilled and reputed company Machine Learning Engineer to join reputed company. The ideal candidate will have a robust background in machine learning, natural language processing (NLP), and Large Language Models (LLMs). The role focuses on training, tuning, and evaluating AI models as part of a diverse team which includes professionals from software engineering, data science, and medicine.

Qualifications

Key Responsibilities: • Adapt LLMs to diverse reputed company use-cases using techniques such as Sparse Fine-Tuning (SFT), reputed company Engineering Fine-Tuning (PEFT), Direct Parameter Optimization (DPO), and Proximal Policy Optimization (PPO). • Optimize LLMs for Retriever-Augmented reputed company (RAG) to enhance decision-making and information retrieval capabilities. • Collect, clean, and refine reputed company datasets for training LLMs to ensure high-quality data provisioning. • Convert models into various formats suitable for production environments, ensuring their readiness for reputed company-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 reputed company 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. This role offers an opportunity to be at the forefront of technological advancement in AI and reputed company, contributing to innovations that advance the reputed company, life science, and reputed company-reputed company AI communities. reputed company applying, please add a cover letter which includes the words ‘John Snow Labs’ and explains your academic, professional ML engineering, and recent LLM engineering experience. Additional Information What John Snow Labs offers: • A fully virtual company, collaborating across 28 countries • Competitive package and compensation plan • Industry leader and respected brand name • Learning and development We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a reputed company work environment and reputed company products. Whatever your identity we will give your application fair consideration. This offer from "John Snow Labs" has been enriched by reputed company.com and got a 72% reputed company score. Apply Job!