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Machine Learning Operations Jobs in Elmhurst, IL

Deloitte

Oracle AI Manager

Chicago, IL · On-site

Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist Experience with machine learning operations, continuous integration/continuous ...

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL · On-site

$105K - $139K/yr

... machine learning operations processes. The wage range for this role takes into account a wide range of factors considered in making compensation decisions, including but not limited to skill sets ...

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Machine Learning Operations information

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$21

$39

$61

How much do machine learning operations jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for machine learning operations in Elmhurst, IL is $39.73, according to ZipRecruiter salary data. Most workers in this role earn between $33.27 and $42.12 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.
Machine Learning Operations jobs near you
Oracle AI Manager

Oracle AI Manager

Deloitte

Chicago, IL • On-site

Other

Re-posted 10 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

Join Deloitte's AI & Engineering team and help clients transform technology platforms, accelerate innovation, and drive measurable business outcomes. In this role, you will work with cross-functional teams to design and deliver AI-enabled solutions that modernize operations, improve performance, and support growth. You will bring together artificial intelligence, cloud, and engineering capabilities to help clients solve complex business and technology challenges.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated and verticalized sector solutions across software, data, AI, network, and hybrid cloud infrastructure. Our teams help clients modernize technology and data platforms, transform engineering organizations, and scale innovation through tailored delivery models.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Manager, Oracle AI on the AI & Engineering team, you will be responsible for driving the design and delivery of enterprise AI solutions using Oracle Cloud and related technologies.

Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services, and associated platform capabilities

Lead technical teams through solution design, model development, data engineering, integration, and deployment activities

Translate business requirements into scalable technical architectures by collaborating with client stakeholders and project teams

Define data, security, governance, and performance requirements that support enterprise AI use cases

Develop technical documentation, architecture diagrams, and implementation recommendations while identifying opportunities to apply new Oracle AI capabilities

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 mentor and provide clear guidance to others

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications Required:

6+ years of experience in consulting or industry, including 4+ years in artificial intelligence/machine learning solution architecture

4+ years of experience with AI development tools and frameworks

3+ years of experience with generative artificial intelligence, machine learning, deep learning, AI agents, and large language model architectures, training techniques, and prompting strategies

1+ year of experience with Oracle Generative AI and Oracle Cloud Infrastructure AI services, including Oracle Cloud Infrastructure Data Science, Vision, Language, or Generative AI service

Bachelor's degree in Computer Science, Engineering, or a related field

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist

Experience with machine learning operations, continuous integration/continuous delivery pipelines, and DevOps practices

Experience applying AI solutions in finance, healthcare, or supply chain environments

Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform

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 $134,500 to $265,100.

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.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Qualifications:

Join Deloitte's AI & Engineering team and help clients transform technology platforms, accelerate innovation, and drive measurable business outcomes. In this role, you will work with cross-functional teams to design and deliver AI-enabled solutions that modernize operations, improve performance, and support growth. You will bring together artificial intelligence, cloud, and engineering capabilities to help clients solve complex business and technology challenges.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated and verticalized sector solutions across software, data, AI, network, and hybrid cloud infrastructure. Our teams help clients modernize technology and data platforms, transform engineering organizations, and scale innovation through tailored delivery models.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Manager, Oracle AI on the AI & Engineering team, you will be responsible for driving the design and delivery of enterprise AI solutions using Oracle Cloud and related technologies.

Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services, and associated platform capabilities

Lead technical teams through solution design, model development, data engineering, integration, and deployment activities

Translate business requirements into scalable technical architectures by collaborating with client stakeholders and project teams

Define data, security, governance, and performance requirements that support enterprise AI use cases

Develop technical documentation, architecture diagrams, and implementation recommendations while identifying opportunities to apply new Oracle AI capabilities

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 mentor and provide clear guidance to others

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications Required:

6+ years of experience in consulting or industry, including 4+ years in artificial intelligence/machine learning solution architecture

4+ years of experience with AI development tools and frameworks

3+ years of experience with generative artificial intelligence, machine learning, deep learning, AI agents, and large language model architectures, training techniques, and prompting strategies

1+ year of experience with Oracle Generative AI and Oracle Cloud Infrastructure AI services, including Oracle Cloud Infrastructure Data Science, Vision, Language, or Generative AI service

Bachelor's degree in Computer Science, Engineering, or a related field

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist

Experience with machine learning operations, continuous integration/continuous delivery pipelines, and DevOps practices

Experience applying AI solutions in finance, healthcare, or supply chain environments

Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform

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 $134,500 to $265,100.

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.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Education:Bachelor's DegreeEmployment Type:

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