AI Engineer
Core
Build critical infrastructure and tooling leveraging AI/ML to enhance productivity and solve business problems for a multi-asset trading firm.
Role type
AI Engineer (Infrastructure & MLOps)
Builds
AI infrastructure, automated training/monitoring systems, feature pipelines, and scalable research frameworks for trading strategies.
Domain
Financial Trading / Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Python, MLOps, model deployment & monitoring, GPU/CPU optimization, feature engineering, LLMs (RAG, fine-tuning), TensorFlow/PyTorch
Preferred skills
TensorRT, ONNX, Large Language Models
Technologies
Python, TensorFlow, PyTorch, TensorRT, ONNX, GPU/CPU clusters
Responsibilities
Drive end-to-end development of AI infrastructure from PoC to production; Collaborate with traders and researchers to integrate AI into use cases; Implement automated systems for continuous model training and validation; Provide technical leadership in selecting and optimizing AI frameworks; Create and maintain feature pipelines and model stores; Develop frameworks for scalable, reproducible research; Troubleshoot performance bottlenecks and optimize resource usage.
Seniority
Mid-Senior, hands-on IC