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Ml Platform Engineer Jobs in Georgia (NOW HIRING)

PrizePicks

Machine Learning Platform Engineer

Atlanta, GA · On-site

$155K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a ML Platform Engineer, you will contribute to building the ML platform at Prizepicks to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics ...

PrizePicks

Machine Learning Platform Engineer

Atlanta, GA · On-site +1

$155K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a ML Platform Engineer, you will contribute to building the ML platform at Prizepicks to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics ...

CSAA

  • Retirement

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open) Location Arizona - Home Teleworkers ...

Posted today

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is central to designing, building, and scaling the enterprise AI/ML platform that powers intelligent automation across a global portfolio. As a Full Stack AI Platform Engineer here at ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is central to designing, building, and scaling the enterprise AI/ML platform that powers intelligent automation across a global portfolio. As a Full Stack AI Platform Engineer here at ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is central to designing, building, and scaling the enterprise AI/ML platform that powers intelligent automation across a global portfolio. As a Full Stack AI Platform Engineer here at ...

Worldpay

Senior ML Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Contribute to ML platform: * Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products. Operational Excellence:

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders ... Design, build, and set the ML platform surface used by our data science team-covering model ...

AGS

DevOps Platform Engineer

Duluth, GA · On-site

$48.50 - $66.50/hr

... Platform Engineer builds and maintains the technical infrastructure that enables AGS's entire AI ... AI/ML infrastructure experience - has deployed LLM-based applications or ML models to production ...

PlayAGS, Inc.

DevOps Platform Engineer

Duluth, GA · On-site

$120 - $180/hr

... Platform Engineer builds and maintains the technical infrastructure that enables AGS's entire AI ... AI/ML infrastructure experience -- has deployed LLM-based applications or ML models to production ...

New

Deloitte

AI Engineer Consultant

Atlanta, GA · On-site

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and ...

Deloitte

AI Engineer Consultant

Atlanta, GA · Hybrid

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and ...

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... low-latency ML models across our sports betting and daily fantasy ecosystems. What you'll do ... Platform Engineering, with a proven track record of deploying and maintaining scalable Data ...

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All JobsMl Platform Engineer JobsMl Platform Engineer Jobs in Georgia

Ml Platform Engineer information

See Georgia salary details

$28

$54

$80

How much do ml platform engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ml platform engineer in Georgia is $54.00, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $62.31 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

What are popular job titles related to Ml Platform Engineer jobs in Georgia?

For Ml Platform Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Ml Platform Engineer jobs in Georgia look for?

The top searched job categories for Ml Platform Engineer jobs in Georgia are:

What cities in Georgia are hiring for Ml Platform Engineer jobs?

Cities in Georgia with the most Ml Platform Engineer job openings:

Ml Platform Engineer jobs near you
Infographic showing various Ml Platform Engineer job openings in Georgia as of August 2026, with employment types broken down into 51% Full Time, 39% Part Time, 7% Contract, and 3% Nights. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $112,325 per year, or $54 per hour.

Machine Learning Platform Engineer

PrizePicks

Atlanta, GA • On-site

$155K - $185K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
As a ML Platform Engineer, you will contribute to building the ML platform at Prizepicks to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.
What you'll do:
  • Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setup platform for transitioning experimental Data Science models into robust, high-availability production services.
  • Real-Time Inference at Scale: Build automation to deploy low-latency services that serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
  • Feature Engineering & Data Strategy: You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
  • End-to-End MLOps: You will work with the Infrastructure team to build and operate core ML platform components for training and experimentation, with a focus on developer experience. You will champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability for ML systems to ensure data drift and model degradation are caught and addressed instantly.
What you have:
  • 3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining a scalable ML platform in high-traffic production environments.
  • 1+ years of experience owning ML systems end-to-end in production, including on-call and incident response.
  • Experience with Real-Time Data, proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
  • MLOps Expertise, deep experience building a platform for managing the full ML lifecycle (training, deploying, monitoring) using tools like SageMaker, VertexAI, Vector DBs, Graph Databases. Managing and scaling caches like Redis or Elasticsearch.
  • Proficient with Containerization, Docker, Kubernetes, and cluster-level management.
  • Expert in Python, proficiency in Go. C++, or Rust is a strong plus for building high-performance inference layers.
What makes you stand out:
  • Experience implementing infrastructure while enforcing best practices for the deployment of ML Platform.
  • Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
  • Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.
  • Enabling self-service for ML and Data Science teams for model development and deployment.
  • Enabling AI agents and AI coding for faster and iterative software development.
Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $155,000 to $185,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 8/3/2026
Benefits you'll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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