Senior Machine Learning Engineer (LLM)
Core
Design, implement, and optimize Large Language Models (LLMs) using quantum-inspired technologies and deep learning to solve complex problems in finance, energy, and manufacturing.
Role type
Senior Machine Learning Engineer (LLM)
Builds
LLM-based applications (RAG, AI agents), custom deep learning models, and compressed AI systems
Domain
Quantum computing, Artificial Intelligence, Large Language Models
Deliverable
production ML models
Required skills
Deep learning model design and training, Transformer models, Python, PyTorch, HuggingFace, GPU architecture knowledge, Cloud deployment (AWS), Docker
Preferred skills
HPC cluster workloads, Inference optimization (TensorRT, vLLM), RAG system development, Computer vision, MLOps practices
Technologies
PyTorch, HuggingFace, AWS, Docker, TensorRT, vLLM, OpenLLM Leaderboard
Responsibilities
Design and develop techniques to compress LLMs based on quantum-inspired technologies; Conduct rigorous evaluations and benchmarks of model performance; Build LLM-based applications such as RAG and AI agents; Design, train, and deliver custom deep learning models for clients; Maintain comprehensive documentation of LLM development processes; Guide junior team members in technical growth
Seniority
Senior, hands-on IC
