Machine Learning Engineer - Large Language Models

As a Mid-Level Machine Learning Engineer in our company, your primary responsibility will be to lead the design, implementation, and maintenance of machine learning models, particularly focusing on Natural Language Processing (NLP) and Large Language Models (LLMs) for legal applications. Your role will also involve enhancing model training processes, data pipelines, and performance optimization to ensure scalability. Collaborating with front-end developers to integrate AI functionalities into our React UI for a seamless user experience will be an essential part of your job. Additionally, rigorous testing and performance evaluations will also be part of your responsibilities. Key Responsibilities: - Lead the design, implementation, and maintenance of machine learning models with a focus on NLP and LLMs for legal applications - Enhance model training processes, data pipelines, and performance optimization for scalability - Collaborate with front-end developers to integrate AI functionalities into the React UI - Conduct rigorous testing and performance evaluations Qualifications Required: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence (AI), Machine Learning (ML), or a related field - Strong understanding of ML and neural network (NN) concepts - Ability to train, validate, and test NN models - Proficiency in Python, ML frameworks (such as Tensor Flow, PyTorch), and ML ops Join our team and play a significant role in developing custom Large Language Models (LLMs) for legal research applications. Contribute to our innovative project's AI backend and React-based frontend, and be a part of our growing team.,