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Director Google Machine Learning Engineer Jobs in Atlanta, GA

Machine Learning Engineer Atlanta, Georgia, United States About the Job We are supporting a client in the Risk and Insurance industry in the search for a driven Machine Learning Engineer to help us ...

Machine Learning Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Machine Learning Engineer TECHM-JOB-30814 Position :- Machine Learning Engineer Location :- Atlanta GA (Day 1 onsite) Preferably 10+ years' experience having strong Data Analytical Skills with Hands ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III you will be a team lead on the Marketplace Efficiency - Job Reach team. Your team will be responsible for maintaining ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162.51K - $342.75K/yr

Staff Machine Learning Engineer We are Omnissa. The world is evolving quickly, and organizations everywhere--from global enterprises to educational institutions--are under pressure to deliver ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162.51K - $342.75K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

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Director Google Machine Learning Engineer information

See Atlanta, GA salary details

$34.6K

$88.4K

$135.6K

How much do director google machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for director google machine learning engineer in Atlanta, GA is $88,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $101,900.00 per year, depending on experience, location, and employer.
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Machine Learning Engineer

TheTalentos, LLC

Atlanta, GA • On-site

Other

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Job description

Machine Learning Engineer

Atlanta, Georgia, United States

About the Job

We are supporting a client in the Risk and Insurance industry in the search 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 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 expose 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 pipeline
  • 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

Relocation assistance: Limited assistance