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Machine Learning Operations Jobs in Atlanta, GA (NOW HIRING)

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

... or machine learning operations processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to ...

Operations Research Engineer

Atlanta, GA · On-site

$66K - $90K/yr

We are seeking a talented and motivated Operations Research Engineer to join our team. In this role ... Use statistical and machine learning techniques to enhance model accuracy. * Software Integration:

Operations Research Engineer

Atlanta, GA · On-site

$66K - $90K/yr

We are seeking a talented and motivated Operations Research Engineer to join our team. In this role ... Use statistical and machine learning techniques to enhance model accuracy. * Software Integration:

DevOps Architect

Atlanta, GA · On-site

$63.75 - $84/hr

Google Cloud Platform Platform Architect (DevOps / MLOps) Location: Atlanta, GA We are seeking an ... Design and implement MLOps platforms to support machine learning model development, deployment ...

New

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117K - $155K/yr

You will work at the intersection of data engineering, machine learning operations, and edge AI - building production-grade infrastructure that processes billions of IoT events from building ...

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Machine Learning Operations information

See Atlanta, GA salary details

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$38

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How much do machine learning operations jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for machine learning operations in Atlanta, GA is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $32.12 and $40.67 per hour, depending on experience, location, and employer.

Is ML a high paying job?

Machine Learning Operations (MLOps) roles are generally well-paid due to the specialized skills required, such as expertise in cloud platforms, programming, and data management. Salaries tend to be higher than average tech roles and can increase with experience, certifications, and knowledge of tools like TensorFlow or Kubernetes.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

What engineer makes $500,000 a year?

Senior machine learning operations engineers with extensive experience, advanced skills in automation, cloud platforms, and deployment pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such roles often require expertise in tools like Kubernetes, Docker, and cloud services, along with strong problem-solving and leadership abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models. AI may automate some routine aspects, but MLEs' expertise in data engineering, model optimization, and deployment remains critical for effective AI solutions.
Generative AI Data Engineer III

Generative AI Data Engineer III

Deloitte

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 22 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

72nd of 146 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
Work you'll do
As an AI and Data Science Engineer III on the team, you will be responsible for:
  • Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
  • Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
  • Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
  • Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability
A successful candidate would possess these skills:
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.
Qualifications
Required:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
  • 5+ years of professional experience
  • 3+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience programming in Python, Pyspark, Pytorch, Tensorflow
  • 3+ years of experience developing algorithms, model selection, training/validation/optimization, and evaluation at scale
  • 1+ years of technology consulting experience in the Federal Health space
  • 1+ years of experience working with AI technologies such as Gemini, Anthropic, OpenAI
  • Active Certification/Advanced certification in Python, Pyspark, Pytorch, Tensorflow
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain a US government security clearance
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
  • Active US Government security clearance
  • 2+ years of experience deploying machine learning models into production environments
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,000 to $218,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
ai&e fy27 profile
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Requisition code: 356566
Job ID 356566

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