onsite
Lead AI Engineer - GreySpark Partners
AI Engineer
Lead AI Engineer driving production‑grade machine‑learning solutions for front‑office trading and risk platforms, leveraging Python, deep‑learning frameworks, and cloud‑native infrastructure.
About the role
Key Responsibilities
- Design, develop, and deploy scalable AI/ML models that support electronic trading, risk analytics, and governance workflows.
- Architect end‑to‑end ML pipelines using Kubernetes, Docker, and CI/CD practices to ensure reliable, low‑latency inference in production.
- Collaborate with quantitative analysts, traders, and software engineers to translate business requirements into robust AI solutions.
- Implement monitoring, logging, and automated testing frameworks to maintain model performance and compliance with financial regulations.
- Mentor junior engineers and lead technical discussions on AI best practices, model governance, and cloud cost optimization.
Requirements
- 5+ years of software engineering experience with a strong focus on machine learning and AI production systems.
- Proficiency in Python and deep‑learning libraries such as TensorFlow or PyTorch.
- Hands‑on experience deploying containerized workloads on Kubernetes and managing cloud resources (AWS preferred).
- Solid understanding of CI/CD pipelines, Docker, and automated testing for ML models.
- Background in financial services, trading systems, or risk analytics is a strong plus.
Skills
pythontensorflowpytorchkubernetesawsdockercicd