Gradient AI

HQ
Boston, Massachusetts, USA
105 Total Employees
51 Product + Tech Employees
Year Founded: 2018
Jobs at Gradient AI

Search the 5 jobs at Gradient AI

Recently posted jobs

Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
The Senior Project Manager will develop processes and strategies for executing major product development projects, manage project schedules, identify risks, and work collaboratively with various teams to ensure timely project delivery for enterprise clients.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
The Solutions Consultant will support the sales team in implementing predictive analytics AI/ML solutions for clients in health insurance. Responsibilities include creating demo environments, conducting client presentations, providing technical support, and leading proof of concept engagements. The role requires input on client success metrics and alignment of Statements of Work with delivery expectations.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
The Staff Software Engineer will evolve a predictive analytics application into an enterprise-grade solution, develop APIs for security and data accessibility, implement best practices for automated testing, mentor peer engineers, and work with data teams to create robust ML Ops pipelines.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
The role involves collaborating with product teams to build new features, participating in design decisions, working with data engineering teams on data pipelines, and delivering user-friendly analytics for clients.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
The Senior DevOps Engineer will enhance customer experience by deploying product updates, identifying production issues, and implementing integrations. Responsibilities include building new development tools, designing automated processes, managing Infrastructure as Code, and ensuring system security while collaborating with development teams.