Next Insurance - Machine Learning Engineer
$171,000–$200,000 year
On-siteAtlanta, Georgia, United States
Job Summary
Develop and deploy machine learning solutions by empowering data scientists with application design, scalable API inference, and model monitoring. Create data-intensive products using Python, SQL, and frameworks like FastAPI while leveraging best practices such as test-driven development and continuous integration. Extract actionable insights from deep data analysis and work cross-functionally with marketing, engineering, and product teams to drive business value. Manage end-to-end ML lifecycles including data enrichment services and cloud deployment via Docker and Kubernetes. Join the Data Labs division in Atlanta to build software impacting marketing, risk, and claims experiences.
Required Qualifications
- 4 Years
- Bachelor's degree
- US citizens and Greencard holders
- 3+ years of hands-on experience in the complete software development life-cycle with demonstrated professional experience with machine learning
- Strong command of Python and the standard web development frameworks (e.g. Django, Flask, FastAPI)
- fluency with database technologies, SQL, and Python data packages
- Demonstrated experience deploying models and applications to a cloud environment using tools like Docker and Kubernetes
- Demonstrated experience with software engineering best-practices, such as Test-Driven Development and continuous integration/deployment pipelining
- Experience with ML-oriented data pipelining tools (dbt, Airflow, Prefect, DVC, etc.)
Desired Qualifications
- Experience in the insurance industry
- strong fintech/lending experience
- Experience with GitLab
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