remoteonsite
AI / ML Engineer - Morgan Stanley
ML Engineer
Develop and deploy advanced AI/ML models for financial services, leveraging Python, TensorFlow, and cloud infrastructure to deliver data‑driven solutions that enhance trading, risk, and client analytics.
About the role
Key Responsibilities
- Design, implement, and optimize machine‑learning algorithms and pipelines to support trading, risk management, and client‑facing applications.
- Collaborate with data scientists, traders, and product owners to translate business requirements into scalable AI solutions.
- Build and maintain cloud‑native infrastructure (AWS, Docker, Kubernetes) for model training, serving, and monitoring.
- Conduct performance tuning, model validation, and A/B testing to ensure robustness and compliance with financial regulations.
- Document code, create technical specifications, and contribute to best‑practice guidelines for AI development.
Requirements
- 5+ years of professional software engineering experience with strong Python programming skills.
- Hands‑on experience developing production‑grade machine‑learning or deep‑learning models using frameworks such as TensorFlow or PyTorch.
- Proficiency with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes) for scalable deployment.
- Solid understanding of data structures, algorithms, and software design patterns; experience with SQL/NoSQL databases is a plus.
- Excellent problem‑solving abilities and the capacity to work effectively in cross‑functional, fast‑paced teams.
Skills
pythonmachine learningdeep learningtensorflowawsdocker