Machine Learning Engineer - Large Language Models

Tasks

• Build RAG pipelines
• Collaborate with cross functional teams to deploy deep learning solutions
• Convert and package models for production deployment
• Fine-tune large language models
• Optimize large language models
• Prepare clean curate datasets
• Serve models with performance and scalability
• Stay updated on LLM research and AI engineering best practices
• Train evaluate and improve machine learning models

Perks/Benefits

• Continuous learning and professional development
• Exposure to open source AI projects
• Fully remote work
• Healthcare and life sciences impactful projects
• Inclusive diverse workplace
• International team collaboration

Skills/Tech-stack

Axolotl | Deep learning | Direct Preference Optimization | Efficient Fine Tuning | Fine Tuning | Language Models | Large Language Models | Llama CPP | Machine Learning | Model Serving | Parameter efficient fine-tuning | Performance optimization | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Quantization | Retrieval-Augmented Generation | Supervised Fine Tuning | Text Generation | Text generation inference | Transformers | VLLM