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Mlops Jobs in Decatur, GA (NOW HIRING)

Lead AI/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Hands-on MLOps & Engineering Practice: * Drive the practical implementation of the MLOps strategy, directly overseeing the construction and optimization of CI/CD pipelines for AI/ML systems using ...

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AI/ML Engineer

Atlanta, GA · On-site

$135K - $175K/yr

... MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure cloud services. • Collaborate with cross-functional teams and ...

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AI/ML Engineer

Atlanta, GA · On-site

$135K - $175K/yr

... MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure cloud services. • Collaborate with cross-functional teams and ...

Senior DevOps Engineer

Atlanta, GA · On-site +1

$125K - $160K/yr

Experience supporting AI/MLOps workflows is a plus. Location * Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure * Regulated Environments: Experience ...

Partner with product, engineering, and MLOps teams to deliver end-to-end AI workflows and deploy them via APIs or applications. * Stay ahead of emerging trends in LLMs, transformers, and GenAI ...

Senior Python Developer

Atlanta, GA · On-site

$116K - $157K/yr

... MLOps teams to translate requirements into SDK features • Write comprehensive unit, integration, and contract tests • Create and maintain developer documentation, examples, and notebooks • ...

New

Azure or GCP is a plus. • Understanding of MLOps, AI Ops, and CI/CD for AI solutions. • Strong analytical, problem-solving, and communication skills. • Ability to work well in agile, cross ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

MLOps & Deployment: * Deploy, manage, and monitor LMs and agentic components on Google Cloud Platform (GCP) using services like Vertex AI, GKE, Cloud Functions, and Cloud Run. * Implement robust ...

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Showing results 1-20

Mlops information

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

What are the key skills and qualifications needed to thrive as an MLOps Engineer, and why are they important?

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What are MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.
What are the most commonly searched types of Mlops jobs in Decatur, GA? The most popular types of Mlops jobs in Decatur, GA are:
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What cities near Decatur, GA are hiring for Mlops jobs? Cities near Decatur, GA with the most Mlops job openings:
Infographic showing various Mlops job openings in Decatur, GA as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution.
Machine Learning Operations Engineer II

Machine Learning Operations Engineer II

Cliftonlarsonallen

Atlanta, GA • On-site

$66K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago


CliftonLarsonAllen rating

7.4

Company rating: 7.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

15th of 17 rated bookkeepers and accountants


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Machine Learning Operation Engineer: this position offers growth, flexibility and a collaborative work environment.

We're looking for a motivated and curious Machine Learning Operation Engineer to join our Data Science Team. This is an opportunity to learn, build, and grow alongside experienced developers in a supportive, collaborative environment.

How you'll create opportunities in this role:

Assist with design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm.

Collaborate with data scientists and engineers to ensure seamless integration of data science and engineering processes.

Support maintenance of automated workflows and pipelines for efficient model deployment and monitoring.

Troubleshoot and resolve any issues with model performance, data pipelines, or infrastructure.

Assist with ensuring the security and scalability of the MLOps infrastructure to handle large volumes of data and models.

Support maintenance of documentation for MLOps processes and systems.

Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.

Ensure compliance with data security and privacy regulations.

Stay up to date with industry trends and advancements in machine learning and MLOps.

Technologies You'll Use

  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).

  • Basic understanding of SQL and experience with ETL pipeline design and maintenance.

  • Knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.,

  • Proficiency in programming languages such as Python.

  • Knowledge of data pipeline architecture and data transformation.

  • Knowledge of machine learning model deployment and management.

  • Familiarity with performance monitoring and optimization techniques.

  • Basic understanding of machine learning and DevOps principles.

What you will need:

  • 2+ years' experience as a Data/ML Engineer

  • Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.


Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

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CliftonLarsonAllen logo

About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012