Machine Learning Engineer

📋 Description

• Understand existing ML systems: Review and navigate established machine learning codebases to
• Develop and improve ML implementations: Write, modify, debug, and optimize machine learning
• Work with modern AI architectures: Implement and support transformer-based models and LLM
• Support model fine-tuning: Apply fine-tuning techniques to adapt existing models to specific tasks
• Perform model inference and evaluation: Run experiments and evaluate model accuracy, performance
• Apply prompt engineering: Design and refine prompts and explore model adaptation techniques to

🎯 Requirements

• Professional experience: At least 2 years of experience in Machine Learning Engineering, Applied
• Python proficiency: Strong hands-on programming skills in Python, with the ability to develop
• Machine learning frameworks: Practical experience with PyTorch or comparable machine learning
• LLM expertise: Experience working with Hugging Face Transformers and modern Large Language Models.
• Model architecture knowledge: Strong understanding of transformer-based architectures and the
• Fine-tuning and inference: Practical knowledge of model fine-tuning, inference workflows, and

🎁 Benefits

• Competitive hourly compensation: Earn between USD 30 and USD 80 per hour, depending on experience
• Flexible part-time commitment: Approximately 10–15 hours per week, allowing you to balance this
• Fully remote work: Work from anywhere in India without location-based office requirements.
• Advanced AI exposure: Contribute to projects involving modern machine learning systems, LLMs, and
• Practical engineering experience: Apply your technical expertise to real-world model development
• Professional development: Strengthen your experience with cutting-edge AI technologies, tools, and