About Us:
Shelton AI develops AI/ML solutions tailored for private markets, catering to top-tier asset allocators such as sovereign wealth funds and pension funds. As a leader in the financial technology sector, Shelton specializes in advanced solutions primarily aimed at increasing transparency within private markets. The company is dedicated to optimizing investment processes and enhancing operational efficiencies throughout the entire investment cycle. This is your opportunity to collaborate with an innovative team in a rapidly evolving field.Our clients impact outcomes for millions of families. We are here to make the world's capital matter.
AI/ML Engineer
Day-to-day work:
- Work closely with our executive and frontend teams to build a responsive, performant, and scalable web platform
- Write robust and reusable Python code
- Support fellow engineers through feedback and code reviews
- Implement and conduct quality assurance processes
- Work in an entrepreneurial, fast-paced, and collaborative environment, where your creativity and innovation are valued
Requirements:
- Strong foundation in Natural Language Processing and Machine Learning concepts
- Expertise in modern ML frameworks and libraries
- Experience shipping LLM integrations to user products with high quality
- Stay up to date with developments in AI/ML
- Demonstrated experience fine tuning LLM
- Demonstrated experience with pandas, numpy or similar ETL tools
- Demonstrated experience in Python and Django
- Hands-on experience with building RESTful APIs
- Solid understanding of the importance of code structure, readability, reusability, and typing
- Strong grasp of version-control tools, such as, Git
- Experience working with and designing SQL Databases using ORM framework (Postgres)
- Practical experience using AWS and/or other cloud services
- DevOps and Tools: Experience with Docker, CI/CD pipelines, and building end-to-end tests
How to Apply
We would love to hear from you! To apply, please submit your resume to hiring@sheltonai.com. Shelton AI is headquartered out of San Francisco. The position is fully remote.