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Senior Meta Machine Learning Jobs in Decatur, GA

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

* Senior MLOps Engineer (Contractor) About the Role: * Client is seeking an experienced Senior MLOps Engineer to join client's Data Science Enablement (MLOps) team as a contractor. * Candidates will be ...

Workday, Inc.

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small ...

Workday

Senior/Principal AI Engineer

Atlanta, GA

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small ...

ARC Group

Sr. Data Scientist

Atlanta, GA

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... Recognize emerging machine learning and pattern recognition algorithms and work with the team to ...

Radiant System, Inc

Senior Cloud Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

Senior Cloud AI Architect Location: Atlanta, GA (Hybrid Local Candidates Only) Duration: 12+ Months ... Azure Machine Learning * Google Vertex AI * PyTorch * Experience designing secure and compliant AI ...

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All JobsMeta Machine Learning JobsSenior Meta Machine Learning JobsSenior Meta Machine Learning Jobs in Decatur, GA

Senior Meta Machine Learning information

See Decatur, GA salary details

$24.4K

$78.4K

$159.6K

How much do senior meta machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for senior meta machine learning in Decatur, GA is $78,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $100,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are popular job titles related to Senior Meta Machine Learning jobs in Decatur, GA? For Senior Meta Machine Learning jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Senior Meta Machine Learning jobs in Decatur, GA look for? The top searched job categories for Senior Meta Machine Learning jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Senior Meta Machine Learning jobs? Cities near Decatur, GA with the most Senior Meta Machine Learning job openings:
Senior Meta Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

TriOptus LLC

Atlanta, GA • On-site

$85.92 - $130/hr

Full-time, Contractor

Posted 20 days ago

Job description

  • Senior MLOps Engineer (Contractor)
About the Role:
  • Client is seeking an experienced Senior MLOps Engineer to join client's Data Science Enablement (MLOps) team as a contractor.
  • Candidates will be the primary MLOps expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production.
  • Candidate's focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to client's shared ML platform.
  • Candidates will work closely with cross-functional collaborators-including ML researchers, product managers, and platform engineers-to deliver scalable, reliable, and low-latency ML solutions.
  • This contract position has potential to transition into a full-time role in the future based on performance and business needs.
Key Responsibilities:
Feature Development and Delivery:
  • Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.
Technical Ownership and Stewardship:
  • Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.
  • End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.
Contribute to ML platform:
  • Contribute to the evolution of the shared ML platform alongside other MLOps engineers to drive best practices and shared tooling across all products.
Operational Excellence:
  • Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.
  • Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.
Continuous Improvement:
  • Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.
Release Management:
  • Oversee pre-release testing, coordinate releases, and ensure smooth enablement of new features.
Leadership:
  • Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.
  • Mentor and coach other engineers, supporting their professional growth.
  • Foster a culture of collaboration, continuous improvement, and knowledge sharing.
Act Like an Owner:
  • Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.
  • Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.
Experience and Skills - Required:
  • 5 plus years as an ML Engineer, MLOps Engineer, or similar, with hands-on production experience
  • Proven expertise with ML model deployment, API design, and integration into production environments
  • Strong Python programming and relevant ML/data libraries
  • Experience with containerization, orchestration, and AWS cloud services
  • Building and operating CI/CD pipelines (Jenkins preferred)
  • Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB
  • Monitoring, troubleshooting, and optimizing production ML systems
  • Pre-release testing and release management
  • Demonstrated ability to work independently, navigate ambiguity, and deliver results
  • Excellent communication skills and ability to collaborate in cross-functional teams
Experience and Skills - Preferred:
  • Experience with MLFlow, model versioning, and storage
  • Exposure to GenAI/NLP, AutoML, model explainability
  • Familiarity with Databricks or similar platforms
  • Experience supporting high-volume, real-time data products
  • Automated testing and validation frameworks
Why Join Client?
  • Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company's strategy.
  • Candidate's work will directly influence the reliability, scalability, and evolution of critical production systems.
  • Autonomy: Take end-to-end technical ownership of candidate's product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.
  • Collaboration: Join a cross-functional, high-performing team where candidate's expertise is valued and candidate's contributions make a real difference.
Note:
  • Team: Data Science Enablement (MLOps)
  • Rate card: $85.92 - $130.00 hourly.
  • Any candidate submitted with a bill rate over $130 will be rejected.
  • Work schedule and time zone: Eastern Time 8.00 am to 5.00 pm
  • Overtime Eligible(Y/N): N
  • Workstoppage Eligible (Y/N): HM looking into this
  • Remote (Y/N): Y
  • Potential to convert and/or extend: Yes.
  • If convert, need to be located in Cincinnati OH, Atlanta GA, or Alpharetta GA (3-day onsite requirement)

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