Job Description
About the Role:Â Â Â Â
If you want to work on cutting edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you.  We are looking for software engineers to build and improve our AI/ML claims and underwriting platforms. The ideal candidate is a life-long learner who knows Python, with strong analytical skills and an interest in Machine Learning. Â
Gradient AI:Â Â Â Â
Gradient AI is a fast-growing startup, bringing state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) solutions to the trillion-dollar insurance industry. Founded in 2018, we have recently raised $20M from top Insurtech investors to continue fueling our growth. Our software-as-a-service platform provides bias-free, data-driven insights, enabling insurance companies to profitably run their business and expand their offerings to underserved people and markets.  Â
How you’ll make an impact: Â
- Contribute to any and all parts of our flow for developing and deploying our high-volume predictive models, including API development  Â
- Utilize our tech stack that includes Python (Pandas, NumPy and PyTorch), Kubernetes, Git, Flask, Docker, SQL, and more in a Linux environment Â
- Be involved in high-level design and architecture decisions, as well as hands-on development Â
- Integrate Gradient AI’s propriety and 3rd party data and Machine Learning models into high-performance client-facing APIs and analytics.Â
- Work closely with our data science and data engineering teams to design and develop robust ML Ops pipelinesÂ
Skills you need to exceed:Â
- 4+ years of professional software engineering experience  Â
- Experience with Python or similar (another OO language)
- Experience with SQL; understanding of containerization (Docker, Kubernetes), Bash Scripting, and Git is nice to have
- Exposure with AWS tools or similar cloud toolsÂ
- Familiarity with libraries such as Pandas, NumPy, and PyTorch is nice to have
- Prior experience working with Data Science teams and productionizing machine learning models is nice to haveÂ
 What We Offer: Â
- A fun, team-oriented startup culture. Â
- Generous stock options - we all get to own a piece of what we’re building. Â
- Unlimited vacation days. Â
- Flexible schedule that supports working from home. Â
- Full benefits package including medical, dental, vision, 401k, and more. Â
- Ample opportunities to learn and take on new responsibilities. Â
We are an equal opportunity employer.Â
Chosen as a top place to work and best paying company by BuiltInBoston!
Date Posted
11/04/2022
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