Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims.
Requirements
- Python (Pandas, NumPy and PyTorch)
- Kubernetes
- Git
- Flask
- Docker
- SQL
- Linux environment
- Bash Scripting
- AWS tools or similar cloud tools
- productionizing machine learning models
Responsibilities
- Contribute to any and all parts of our flow for developing and deploying our high-volume predictive models, including API development
- Utilize our tech stack that includes Python (Pandas, NumPy and PyTorch), Kubernetes, Git, Flask, Docker, SQL, and more in a Linux environment
- Be involved in high-level design and architecture decisions, as well as hands-on development
- Integrate Gradient AI's propriety and 3rd party data and Machine Learning models into high-performance client-facing APIs and analytics.
- Work closely with our data science and data engineering teams to design and develop robust ML Ops pipelines
Other
- fully remote opportunity
- lifelong learner
- strong analytical skills
- interest in Machine Learning
- 5+ years of professional software engineering experience
