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About the job Senior Full Stack Engineer
About the job Senior Full Stack Engineer
Job Summary:
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 full-stack engineers to integrate Machine Learning models and their insightful analysis into client-facing applications. The ideal candidate is a life-long learner who knows Python, with strong analytical skills and an interest in Machine Learning.
Responsibilities: •Collaborate with our product team to build new features. •Participate in high-level design decisions and execute on them. •Work closely with our data science and data engineering teams to build robust data pipelines and workflows. •Interface with our project team to build integrations with clients. •Leverage data infrastructure to deliver high impact, user-friendly, client-facing business intelligence and analytics.
Qualifications: •3+ years of experience building applications using Python, web frameworks (Django, Flask, etc), JavaScript frameworks (React, Angular, etc.) and SQL. •Familiarity with AWS or other cloud environments a bonus. •Familiarity with Kubernetes, Docker, or another container technology a bonus. •Exposure working with Data Science teams and productionizing machine learning models is nice to have. •Experience working in Insurtech or on AI/ML products is a bonus.
Apply To Position
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 full-stack engineers to integrate Machine Learning models and their insightful analysis into client-facing applications. The ideal candidate is a life-long learner who knows Python, with strong analytical skills and an interest in Machine Learning.
Responsibilities: •Collaborate with our product team to build new features. •Participate in high-level design decisions and execute on them. •Work closely with our data science and data engineering teams to build robust data pipelines and workflows. •Interface with our project team to build integrations with clients. •Leverage data infrastructure to deliver high impact, user-friendly, client-facing business intelligence and analytics.
Qualifications: •3+ years of experience building applications using Python, web frameworks (Django, Flask, etc), JavaScript frameworks (React, Angular, etc.) and SQL. •Familiarity with AWS or other cloud environments a bonus. •Familiarity with Kubernetes, Docker, or another container technology a bonus. •Exposure working with Data Science teams and productionizing machine learning models is nice to have. •Experience working in Insurtech or on AI/ML products is a bonus.
Apply To Position