- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: ML Ops Engineer.
Urgent! ML Ops Engineer Job Opening In Alpharetta – Now Hiring Global Payments
Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services.
Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results.
We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions.
Join our dynamic team and make your mark on the payments technology landscape of tomorrow.
At this time, we are unable to offer visa sponsorship for this position.
Candidates must be legally authorized to work in the United States (or applicable country) on a full-time basis without the need for current or future immigration sponsorship.
Please note, we are not accepting candidates on H1B or OPT status
OVERVIEW
We are looking for an experienced AI Ops Engineer to support our AI and ML initiatives, including GenAI platform development, deployment automation, and infrastructure optimization.
You will play a critical role in building and maintaining scalable, secure, and observable systems that power scalable RAG solutions, model training platforms, and agentic AI workflows across the enterprise.
RESPONSIBILITIES
Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails).
Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-.
Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute.
Support vector database, feature store, and embedding store deployments (e.g., pgVector, Pinecone, Redis, Featureform.
MongoDB Atlas, etc).
Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings).
Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production.
Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines.
Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.).
Must Haves:
4+ years of DevOps, AI Ops, or infrastructure engineering experience.
Preferably with 2+ years in AI/ML environments.
Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management.
Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.).
Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-.
Experience with monitoring, logging, and alerting systems for AI/ML workloads.
Deep understanding of Kubernetes and container lifecycle management.
Bonus Attributes:
Exposure to AI Ops tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines.
Familiarity with prompt engineering, model fine-tuning, and inference serving.
Experience with secure AI deployment and compliance frameworks
Knowledge of model versioning, drift detection, and scalable rollback strategies.
Abilities:
Ability to work with a high level of initiative, accuracy, and attention to detail.
Ability to prioritize multiple assignments effectively.
Ability to meet established deadlines.
Ability to successfully, efficiently, and professionally interact with staff and customers.
Excellent organization skills.
Critical thinking ability ranging from moderately to highly complex.
Flexibility in meeting the business needs of the customer and the company.
Ability to work creatively and independently with latitude and minimal supervision.
Ability to utilize experience and judgment in accomplishing assigned goals.
Experience in navigating organizational structure.
Travel Required:2%
Physical Demands:
Standing/ Walking – minimal level
Sitting – moderate to high level
Lifting – up to 15 lbs.
Visual Concentration – high level
Work Environment – typical office environment.
Position Type and Expected Hours of Work: Full Time
Disclaimer:
The above statement is intended to describe the general nature and level of work being performed.
It is not intended to be an exhaustive list of responsibilities, duties and skills required.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your ML Ops Potential: Insight & Career Growth Guide
Real-time ML Ops Jobs Trends in Alpharetta, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for ML Ops in Alpharetta, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 5347 jobs in United States and 13 jobs in Alpharetta. This comprehensive analysis highlights market share and opportunities for professionals in ML Ops roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Global Payments is currently hiring and seeking a ML Ops Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: ML Ops Engineer Jobs Alpharetta.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Global Payments adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a ML Ops Engineer Jobs United States varies, but the pay scale is rated "Standard" in Alpharetta. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for ML Ops Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for ML Ops Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your ML Ops Engineer interview at Global Payments, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Global Payments's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for ML Ops Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!