Our partner is looking for a Machine Learning Engineer based in India . As a Machine Learning Engineer, you will contribute to the development, improvement, and evaluation of modern machine learning systems, with a particular focus on Large Language Models (LLMs) and transformer-based architectures. You will work with existing machine learning codebases, analysing their structure and implementing practical enhancements to improve model performance and reliability. Using Python, PyTorch, and Hugging Face Transformers, you will support model fine-tuning, inference, and evaluation across a range of AI projects. This role offers the opportunity to work on advanced AI initiatives involving real-world machine learning challenges. With a flexible, fully remote, part time arrangement, you can contribute independently while collaborating on innovative AI development projects. Accountabilities: - Understand existing ML systems: Review and navigate established machine learning codebases to understand their architecture, functionality, dependencies, and implementation details. - Develop and improve ML implementations: Write, modify, debug, and optimize machine learning solutions using Python and frameworks such as PyTorch. - Work with modern AI architectures: Implement and support transformer-based models and LLM applications using Hugging Face Transformers and related technologies. - Apply fine-tuning techniques to adapt existing models to specific tasks, improve their performance, and enhance output quality.



- Run experiments and evaluate model accuracy, performance, consistency, and overall effectiveness using appropriate evaluation methodologies. - Investigate model-related issues, debug implementation problems, identify performance gaps, and recommend practical improvements. - Record implementation changes, evaluation results, technical decisions, and relevant findings to support project continuity and knowledge sharing. Requirements: - Professional experience: At least 2 years of experience in Machine Learning Engineering, Applied Machine Learning, AI Engineering, or a related technical discipline. - Python proficiency: Strong hands-on programming skills in Python, with the ability to develop, debug, and maintain machine learning applications. - Machine learning frameworks: Practical experience with PyTorch or comparable machine learning frameworks. - LLM expertise: Experience working with Hugging Face Transformers and modern Large Language Models. - Strong understanding of transformer-based architectures and the principles behind modern machine learning systems. - Familiarity with model evaluation methodologies and the ability to assess accuracy, performance, and output quality. - Understanding of prompt design and optimization techniques for improving LLM behaviour and task-specific results. - Ability to independently read, understand, navigate, and modify existing machine learning codebases.

📌 Part-time Machine Learning Engineer (India)
🏢 Jobgether
📍 India