Oracle AI Manager
Columbus, OH · On-site
Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist Experience with machine learning operations, continuous integration/continuous ...
Columbus, OH · On-site
Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist Experience with machine learning operations, continuous integration/continuous ...
Columbus, OH · On-site
Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist Experience with machine learning operations, continuous integration/continuous ...
Cleveland, OH · On-site
Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist Experience with machine learning operations, continuous integration/continuous ...
Cleveland, OH · On-site
Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist Experience with machine learning operations, continuous integration/continuous ...
Cincinnati, OH · On-site
Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist Experience with machine learning operations, continuous integration/continuous ...
Cincinnati, OH · On-site
Oracle Cloud certifications, including Oracle Cloud Infrastructure Architect or Oracle Machine Learning Specialist Experience with machine learning operations, continuous integration/continuous ...
Columbus, OH · On-site
... machine learning, operations, and governance, with proven ability to influence in a matrixed environment. • Strong product operating discipline, including dependency management, release planning ...
Columbus, OH · On-site
... machine learning, operations, and governance, with proven ability to influence in a matrixed environment. • Strong product operating discipline, including dependency management, release planning ...
Columbus, OH · On-site
Experience working with cross-functional teams across engineering, data engineering, applied machine learning, operations, and governance, with proven ability to influence in a matrixed environment.
Columbus, OH · On-site
Experience working with cross-functional teams across engineering, data engineering, applied machine learning, operations, and governance, with proven ability to influence in a matrixed environment.
$63.50 - $84.50/hr
Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent ...
$63.50 - $84.50/hr
Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent ...
$62.75 - $83.50/hr
Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent ...
$62.75 - $83.50/hr
Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent ...
Dayton, OH · On-site
$63.75 - $84.50/hr
Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent ...
Dayton, OH · On-site
$63.75 - $84.50/hr
Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent ...
Columbus, OH · On-site
Experience working with cross-functional teams across engineering, data engineering, applied machine learning, operations, and governance, with proven ability to influence in a matrixed environment.
Columbus, OH · On-site
Experience working with cross-functional teams across engineering, data engineering, applied machine learning, operations, and governance, with proven ability to influence in a matrixed environment.
Columbus, OH · On-site
Experience working with cross-functional teams across engineering, data engineering, applied machine learning, operations, and governance, with proven ability to influence in a matrixed environment.
Columbus, OH · On-site
Experience working with cross-functional teams across engineering, data engineering, applied machine learning, operations, and governance, with proven ability to influence in a matrixed environment.
Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent ...
Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent ...
Mason, OH · On-site
$56.50 - $73.25/hr
This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...
Mason, OH · On-site
$56.50 - $73.25/hr
This role blends advanced software engineering with cloud architecture, data engineering, and machine learning operations. You will design intelligent, scalable systems, lead complex initiatives, and ...
Advanced degree (master's or PhD) in a quantitative or spatial discipline such as Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or Geography, or a related ...
Advanced degree (master's or PhD) in a quantitative or spatial discipline such as Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or Geography, or a related ...
Experience working with cross-functional teams across engineering, data engineering, applied machine learning, operations, and governance, with proven ability to influence in a matrixed environment.
Experience working with cross-functional teams across engineering, data engineering, applied machine learning, operations, and governance, with proven ability to influence in a matrixed environment.
Avon, OH · On-site
CLI is the most advanced 3PL with cutting edge technology and machine learning to keep supply ... Monitor operation of CMA equipment and systems. * Ensure that material is shipped to the customer ...
Avon, OH · On-site
CLI is the most advanced 3PL with cutting edge technology and machine learning to keep supply ... Monitor operation of CMA equipment and systems. * Ensure that material is shipped to the customer ...
Avon, OH · On-site
CLI is the most advanced 3PL with cutting edge technology and machine learning to keep supply ... Monitor operation of CMA equipment and systems. * Ensure that material is shipped to the customer ...
Avon, OH · On-site
CLI is the most advanced 3PL with cutting edge technology and machine learning to keep supply ... Monitor operation of CMA equipment and systems. * Ensure that material is shipped to the customer ...
Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities * Develop and execute a ...
Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities * Develop and execute a ...
Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management * Experience integrating LLM ...
Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management * Experience integrating LLM ...
Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management * Experience integrating LLM ...
Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management * Experience integrating LLM ...
Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management * Experience integrating LLM ...
Experience with machine learning operations (MLOps) or large language model operations (LLMOps), including evaluation frameworks, model monitoring, or prompt management * Experience integrating LLM ...
| Aspect | Machine Learning Operations | Data Scientist |
|---|---|---|
| Primary Focus | Deploying, maintaining, and scaling ML models in production | Analyzing data to develop insights and build models |
| Required Skills | ML deployment, cloud platforms, automation, scripting | Statistical analysis, data visualization, programming (Python/R) |
| Work Environment | Operations teams, cloud infrastructure, production systems | Research environments, data analysis teams, R&D |
| Common Certifications | Cloud certifications, MLOps tools certifications | Data 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.

8.0
Based on 89 frontline employees who took The Breakroom Quiz
71st of 146 rated financial services
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...
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...