Position Details
About this role
Senior ML developer and DevOps engineer role at Morgan Stanley focusing on deploying and maintaining machine learning solutions in a financial services setting.
Key Responsibilities
- Develop ML projects
- Deploy ML models
- Support production systems
- Build tooling for ML development
- Ensure security and compliance
Technical Overview
Environment includes Python, Java, container technologies (Docker, Kubernetes), cloud platforms (AWS, Azure), and data management tools, with a focus on ML Ops and scalable infrastructure.
Ideal Candidate
The ideal candidate is a senior software developer with over 10 years of experience in Python, Java, and container technologies, with a strong background in ML deployment and cloud infrastructure. They should be adept at building scalable, maintainable systems in a financial services environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years of relevant experience, Lack of experience with container technologies and cloud platforms, Inability to work in a fast-paced financial environment
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