1

Machine Learning Manager Jobs in Indiana (NOW HIRING)

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

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Job Summary : eTeam is a company focused on AI and machine learning solutions, and they are seeking ... managers| data scientists| and business teams to translate requirements into technical solutions ...

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones ... Integrate AI solutions with CRM, ERP, communication, and business systems. * Implement ...

... machine learning models that power Relativity's next generation of AI-driven product capabilities. You will collaborate closely with applied scientists, engineers, product managers, and designers to ...

Product Manager of AI Feature Extraction Are you ready to redefine how the world interprets ... Join a visionary team at Trimble where your expertise in geospatial technology and machine learning ...

Machine Operator| North Vernon, IN|HIRING IMMEDIATELY | Compensation Includes: * $18.00 per hour ... Learning Management System that supports and enhances employee skills at all levels of the ...

Bag Machine Operator

North Vernon, IN · On-site

$17.75 - $21/hr

Bag Machine Operator | HIRING IMMEDIATELY | North Vernon, IN Walk-In Days/Times: Tuesday and ... Learning Management System that supports and enhances employee skills at all levels of the ...

... managers and insurers. Singularity provides integrated accounting, operational processing, and advanced analytics for a broad range of asset types, leveraging machine learning, automation, and ...

Bag Machine Operator

North Vernon, IN · On-site

$17.75 - $21/hr

Bag Machine Operator | HIRING IMMEDIATELY | North Vernon, IN Walk-In Days/Times: Tuesday and ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator| North Vernon, IN|HIRING IMMEDIATELY | Compensation Includes: * $18.00 per hour ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator| North Vernon, IN|HIRING IMMEDIATELY | Compensation Includes: * $18.00 per hour ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator| North Vernon, IN|HIRING IMMEDIATELY | Compensation Includes: * $18.00 per hour ... Learning Management System that supports and enhances employee skills at all levels of the ...

Bag Machine Operator | HIRING IMMEDIATELY | North Vernon, IN Walk-In Days/Times: Tuesday and ... Learning Management System that supports and enhances employee skills at all levels of the ...

Bag Machine Operator

North Vernon, IN · On-site

$17.75 - $21/hr

Bag Machine Operator | HIRING IMMEDIATELY | North Vernon, IN Walk-In Days/Times: Tuesday and ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator Assistant |North Vernon, IN| HIRING IMMEDIATELY Walk-In Days/Times: Tuesday and ... Learning Management System that supports and enhances employee skills at all levels of the ...

next page

Showing results 1-20

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 Jun 18, 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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning executive or specialized researcher, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, managing teams, and working with cutting-edge tools and frameworks, and they are usually found in large tech companies or innovative organizations offering top-tier compensation.

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 machine learning manager?

A machine learning manager oversees teams developing and deploying machine learning models and algorithms. They coordinate projects, set strategic goals, and ensure technical quality, often requiring knowledge of data science, programming, and project management tools. Their role involves collaboration with data scientists, engineers, and stakeholders to implement AI solutions effectively.

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, data analysis, and programming languages like Python or TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

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. Roles requiring high-level strategic thinking, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs often involve tasks that are difficult for AI to replicate fully.

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 cities in Indiana are hiring for Machine Learning Manager jobs? Cities in Indiana with the most Machine Learning Manager job openings:
AI Developer

AI Developer

Onebridge

Indianapolis, IN • On-site

Full-time

Posted 9 days ago


Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled AI Developer to join our innovative and dynamic team.
AI Developer | About You
As an AI Developer, you are responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value and innovation. You bring deep technical experience across IT systems along with focused expertise in AI and ML technologies. You are analytical, curious, and passionate about applying data-driven solutions to complex problems. You work closely with engineers, data scientists, and business stakeholders to translate requirements into scalable AI solutions. You continuously stay current with emerging AI technologies, frameworks, and best practices.
AI Developer | Day-to-Day
  • Design, develop, and implement AI and machine learning models to solve business and operational challenges.
  • Build, train, test, and deploy models using structured and unstructured data sources.
  • Collaborate with cross-functional teams to integrate AI solutions into existing applications and platforms.
  • Develop data pipelines, feature engineering processes, and model evaluation frameworks.
  • Optimize model performance, scalability, and reliability in production environments.
  • Document solutions, algorithms, and processes to support knowledge sharing and maintainability.
  • Monitor deployed models and continuously improve them based on performance metrics and feedback.

AI Developer | Skills & Experience
  • 7+ years of experience in IT, software engineering, data engineering, or a similar technical role.
  • 3+ years of focused experience designing and developing AI and machine learning solutions.
  • Strong experience with programming languages such as Python, Java, or similar languages used in AI development.
  • Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or equivalent.
  • Experience working with data processing, feature engineering, and model lifecycle management.
  • Familiarity with cloud platforms and AI services such as Azure, AWS, or Google Cloud.
  • Experience with MLOps practices, model deployment, monitoring, and version control is preferred.