remote
AI Engineer - Tradeweb
AI Engineer
AI Engineer responsible for designing, building, and deploying machine‑learning models that power multi‑asset trading analytics, leveraging Python, deep‑learning frameworks, and cloud services.
About the role
Key Responsibilities
- Design and implement end‑to‑end machine‑learning pipelines for pricing, risk analytics, and trade‑execution optimization.
- Develop, train, and fine‑tune deep‑learning models using TensorFlow or PyTorch on large financial datasets.
- Integrate AI solutions into existing trading platforms, ensuring low‑latency inference and high reliability.
- Collaborate with quant researchers, software engineers, and product owners to translate business requirements into scalable AI services.
- Monitor model performance in production, perform root‑cause analysis, and iterate to improve accuracy and robustness.
Requirements
- Strong proficiency in Python and experience with data‑science libraries (NumPy, pandas, scikit‑learn).
- Hands‑on experience building and deploying deep‑learning models with TensorFlow or PyTorch.
- Solid understanding of machine‑learning concepts, model evaluation, and feature engineering for time‑series financial data.
- Experience with cloud platforms (AWS) and container orchestration (Docker/Kubernetes) for scalable model serving.
- Background in finance, quantitative research, or related field is a plus.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws