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Machine Learning Manager Jobs in Indiana (NOW HIRING)

Deloitte

Oracle AI Manager

Indianapolis, IN · On-site

Work you'll do As a Manager, Oracle AI on the AI & Engineering team, you will be responsible for ... Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services ...

Deloitte

AI Solutions Architect

Indianapolis, IN · On-site

$60.25 - $79.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

Pwc

CTIO AI Engineering Manager

Indianapolis, IN · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Deckers

Job Title: Sr. Manager, Data & ML Engineering Reports to: Director, Data Platforms & Engineering ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Onebridge

AI Developer

Indianapolis, IN · On-site

... machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or equivalent. * Experience working with data processing, feature engineering, and model lifecycle management.

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Indiana

Machine Learning Manager information

See Indiana salary details

$48.5K

$77.8K

$112.3K

How much do machine learning manager jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning manager in Indiana is $77,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $88,000.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Indiana? The most popular types of Machine Learning jobs in Indiana are:
What are popular job titles related to Machine Learning Manager jobs in Indiana? For Machine Learning Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Indiana look for? The top searched job categories for Machine Learning Manager jobs in Indiana are:
What cities in Indiana are hiring for Machine Learning Manager jobs? Cities in Indiana with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Oracle AI Manager

Oracle AI Manager

Deloitte

Indianapolis, IN • On-site

Other

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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