Next Insurance

60 Next Insurance Jobs Hiring in Georgia

Customer Service Agent

Cumming, GA · On-site

$13.75 - $18.50/hr

As our next insurance customer service representative, you will show our policyholders the value of being one of our customers by generating insurance quotations and providing coverage advice. You'll ...

Customer Service Agent

Cumming, GA · On-site

$13.75 - $18.50/hr

As our next insurance customer service representative, you will show our policyholders the value of being one of our customers by generating insurance quotations and providing coverage advice. You'll ...

Next.js Lead with AEM

Atlanta, GA · On-site

$45 - $50/hr

Employee benefits include, but are not limited to, health insurance (medical, dental, vision ... Own the overall Next.js project structure (App Router architecture), configuring rendering pathways ...

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Next Insurance - Machine Learning Engineer

Beyond SOF

Atlanta, GA • On-site

Full-time

Re-posted 12 days ago


Job description

Machine Learning Engineer
Experience level: Mid-senior
Experience required: 4 Years
Education level: Bachelor's degree
Job function: Information Technology
Industry: Financial Services
Total position: 1
Relocation assistance: Limited assistance
Visa : Only US citizens and Greencard holders

Job Summary
We are looking for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry. As an experienced innovator partnering with the marketing and growth teams, this is a massive opportunity to drive high growth impact at a hyper-growth startup. Your job is to be a full stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring.
You will be joining an innovative division of NEXT based in Atlanta: Data Labs. The mandate of Data Labs is to build software and data solutions that meaningfully impact marketing, funnel, risk, and servicing/claims experiences.
What You'll Do:
  • Empower our team of data scientists to rapidly develop and deploy ML solutions.
  • Leverage software engineering best-practices to create and deploy data-intensive and machine learning inference products.
  • Understand the data and dig deep to extract actionable insights.
  • Think creatively and outside the box to answer desired experimental questions as well as exposing opportunities to create business value.
  • Work cross-functionally with marketing, engineering, product, senior management, and external partners.

What We Need:
  • 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.)

Unstoppable Qualities:
  • Experience in the insurance industry (strong fintech/lending experience will also be considered)
  • Experience with GitLab