Job responsibilities
- Leverages and integrates the latest Gen AI advances into the firm’s workflow in a scalable and secure manner
- Applies AI techniques to accelerate critical technology modernization programs (addressing productivity and privacy issues)
- Integrates these seamlessly into the firm’s business systems, withing the constraints of a highly structured and opinionated technology environment
- Creates robust pipelines for repeatable model delivery
Required qualifications, capabilities, and skills
- BS in Computer Science and 6+ years of hands-on development / engineering experience
- Exceptional Cloud Engineering skills (both public and private), and a proven track record of navigating a complex technical environment and delivering robust solutions within those constraints
- Up to date understanding of Model Development Lifecycle, and best practices for managing the fast-moving model provisioning environment
- Strong track record of developing high quality, production code in Python
- Advanced understanding of engineering methodologies such as CI/CD, Application Resiliency, and Security
- Great interpersonal skills and able to interface with data scientists, quantitative researchers and other engineers
- Strong understanding of modern development practices
Preferred qualifications, capabilities, and skills
- Experience in AI an advantage, interest in AI a must!
- Experience with AWS and Kubernetes
- Track record of Big Data specific infrastructure (e.g. Spark)
- Interest / understanding of statistics and optimization techniques
- Experience integrating new tools/libraries into frameworks