Machine Learning Engineer
Atlanta, GA · On-site
Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex systems of systems for training and running machine learning models with industry best practice
Machine Learning Engineer
Atlanta, GA · On-site
Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex systems of systems for training and running machine learning models with industry best practice
Machine Learning Engineer Experience level ... Mid-senior Experience required: 4 Years Education level: Bachelor's degree Job function:
Machine Learning Engineer Experience level ... Mid-senior Experience required: 4 Years Education level: Bachelor's degree Job function:
Machine Learning Engineer
Atlanta, GA · On-site
Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex systems of systems for training and running machine learning models with industry best practice
Machine Learning Engineer
Atlanta, GA · On-site
Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex systems of systems for training and running machine learning models with industry best practice
Senior/Principal AI Engineer
$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 ...
Senior/Principal AI Engineer
$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 ...
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 ...
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 ...
Machine Learning Engineer
Atlanta, GA · On-site
$120 - $165/hr
Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are seeking a skilled and forward‑looking ML Engineer with experience in Large Language Models (LLMs ...
Machine Learning Engineer
Atlanta, GA · On-site
$120 - $165/hr
Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are seeking a skilled and forward‑looking ML Engineer with experience in Large Language Models (LLMs ...
Machine Learning Operations Engineer
Atlanta, GA · On-site
$120 - $180/hr
... work with senior and executive management. Job Summary We are seeking a highly skilled and ... The MLOps Engineer works closely with Machine Learning Engineers and Data Engineers to ensure that ...
Machine Learning Operations Engineer
Atlanta, GA · On-site
$120 - $180/hr
... work with senior and executive management. Job Summary We are seeking a highly skilled and ... The MLOps Engineer works closely with Machine Learning Engineers and Data Engineers to ensure that ...
The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks ... Ops variants) US Navy: CTN - Cryptologic Technician (Networks) CTI / CTR (with analytics focus ...
The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks ... Ops variants) US Navy: CTN - Cryptologic Technician (Networks) CTI / CTR (with analytics focus ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Senior Machine Learning Ops Engineer information
What is a senior machine learning ops engineer?
Senior Machine Learning Ops (MLOps) Engineers are experienced professionals who design, build, and maintain the infrastructure and tools needed to deploy, monitor, and scale machine learning models in production environments. They work at the intersection of data science, software engineering, and DevOps to ensure ML models are robust, reliable, and secure. Their responsibilities often include automating model training pipelines, managing cloud resources, implementing CI/CD for ML, and ensuring model reproducibility. Senior MLOps Engineers also mentor junior staff and help define best practices for the organization’s ML workflow.
What are the key skills and qualifications needed to thrive as a senior machine learning ops engineer?
To thrive as a Senior Machine Learning Ops Engineer, you need expertise in machine learning, software engineering, cloud platforms, and experience with CI/CD pipelines, often supported by a computer science degree or equivalent experience. Proficiency with tools like Docker, Kubernetes, TensorFlow, PyTorch, and cloud services such as AWS, GCP, or Azure is typically required, along with familiarity with MLOps frameworks. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and manage complex ML model deployments. These skills are essential to ensure reliable, scalable, and efficient deployment of machine learning models in production environments.
What are some common challenges faced by senior machine learning ops engineers when deploying models to production?
Senior Machine Learning Ops Engineers often encounter challenges such as ensuring model reproducibility, managing model versioning, and automating deployment pipelines for scalability. Another key challenge is monitoring model performance and data drift in production, which requires robust logging and alerting systems. Collaborating closely with data scientists, software engineers, and IT teams is essential to address these challenges and maintain a stable, efficient ML infrastructure.
What is the difference between Senior Machine Learning Ops Engineer vs Data Engineer?
| Aspect | Senior Machine Learning Ops Engineer | Data Engineer |
|---|---|---|
| Credentials | Experience with ML frameworks, cloud platforms, scripting, and DevOps tools | Strong SQL, ETL, database, and programming skills, often with cloud experience |
| Work Environment | Focus on deploying, monitoring, and maintaining ML models in production | Designing and building data pipelines and infrastructure for data processing |
| Industry Usage | Common in AI/ML-focused companies, tech firms, and data-driven organizations | Widespread across industries for data management and analytics |
While both roles involve working with data and cloud platforms, the Senior Machine Learning Ops Engineer specializes in deploying and maintaining machine learning models, whereas the Data Engineer focuses on building data pipelines and infrastructure. Understanding these distinctions helps in choosing the right career path or job search focus.
What are the most commonly searched types of Machine Learning Ops Engineer jobs in Georgia?
The most popular types of Machine Learning Ops Engineer jobs in Georgia are:
What are popular job titles related to Senior Machine Learning Ops Engineer jobs in Georgia?
For Senior Machine Learning Ops Engineer jobs in Georgia, the most frequently searched job titles are:
- Volunteer Junior Machine Learning Engineer
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- Google Cloud Machine Learning Engineer
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What job categories do people searching Senior Machine Learning Ops Engineer jobs in Georgia look for?
The top searched job categories for Senior Machine Learning Ops Engineer jobs in Georgia are:
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What cities in Georgia are hiring for Senior Machine Learning Ops Engineer jobs?
Cities in Georgia with the most Senior Machine Learning Ops Engineer job openings:
Full-time
Medical, Retirement, PTO
Re-posted yesterday
Equifax rating
7.8
Based on 27 frontline employees who took The Breakroom Quiz
Job description
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is excited to add a Machine Learning Engineer to our team.
What you'll do
What experience you need
What could set you apart
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Tech Dev and Client Services
Schedule:
Full time
Equifax is excited to add a Machine Learning Engineer to our team.
What you'll do
- Design complex systems of systems for training and running machine learning models with industry best practice
- Define projects and scope for teams of engineers and guide their completion
- Develop, identify, and report intellectual property through patent applications, invention disclosures, white papers, and presentations
- Demonstrate effective, respectful, and honest communication when collaborating with colleagues including executives, customers, and peers from other businesses and institutions
- Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment
- Deliver on company initiatives and prioritize projects supporting your long term technical vision
- Collaborate with the product team, architects, and others to understand the opportunities and limitations of AI, ML, and data engineering
- Participate in peer design and code reviews
- Show initiative to identify and drive forward improvements and innovations that add value and move the IT organization forward
- Elevate the performance of colleagues through training, mentoring, and promoting best practices; may function as a team lead
What experience you need
- BS degree in a STEM major or equivalent job experience required; Master's Degree preferred; AI/ML coursework preferred
- 7+ years of related work experience, including proven experience leading a team of MLE, DS, SDE, DevOps, or related roles
- Experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability and reliability
- Cloud Certification Strongly Preferred
What could set you apart
- Application Development/Programming - Ability to review code for quality, performance, and efficiency, and optimize critical parts of the codebase; Ability to establish the best practices of Software Development Life Cycle for the team
- Artificial Intelligence - Designing scalable and maintainable machine learning architectures and frameworks for the organization's products and services; Ability to define the technical vision and roadmap for the MLE team aligned with the organization's goals and industry trends
- Big Data Analytics - Deep understanding of the domain or industry in which the machine learning solutions are being applied, enabling the company to develop impactful big data solutions
- Cloud Computing - Proficiency in data architecture design, data strategy development, data orchestration, data integration, ETL development, data modeling, parallel processing and performance optimization.
- Collaboration - Being able to engage with internal stakeholders, including data scientists, business leaders, product managers, and executives, to understand requirements and present technical solutions; Ability to collaborate with other teams, such as software engineering, data engineering, and business intelligence, to integrate machine learning solutions into larger systems.
- Mathematics - Ability to read and comprehend research papers in latest machine learning field, and applying innovative techniques to real-world problems
- Technical Leadership - Be able to lead and manage a team of machine learning engineers, data scientists, or related roles. Ability to set clear goals, provide guidance, and foster a collaborative and productive team environment
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Tech Dev and Client Services
Schedule:
Full time
About Equifax
Sourced by ZipRecruiter
As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Atlanta, GA, US
Year founded
1899