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Remote Director Machine Learning Jobs in Indiana

Supply Chain Director

Elkhart, IN · On-site +1

$174K - $197K/yr

  • Medical

  • Retirement

  • PTO

Evaluate and deploy ROI-driven technology-RPA, machine learning, real-time dashboards-and translate ... This position is considered hybrid/remote and offers no relocation assistance. Ready to build what ...

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

  • Medical

  • Retirement

  • PTO

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

  • Medical

  • Retirement

  • PTO

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

United States (Remote) Interested applicants must reside in one of the following approved states ... and machine learning enablement * Promote architectural patterns that enable resilience ...

Java Open Source Contributor

Georgia, IN · Remote

$49 - $63.50/hr

Remote Scope of Work: * Contribute production-quality code, reviews, and documentation to open ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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Remote Director Machine Learning information

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

What are popular job titles related to Remote Director Machine Learning jobs in Indiana?

For Remote Director Machine Learning jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Director Machine Learning jobs in Indiana look for?

The top searched job categories for Remote Director Machine Learning jobs in Indiana are:

What cities in Indiana are hiring for Remote Director Machine Learning jobs?

Cities in Indiana with the most Remote Director Machine Learning job openings:

Infographic showing various Remote Director Machine Learning job openings in Indiana as of July 2026, with employment types broken down into 21% Internship, 57% Full Time, and 22% Contract. Highlights an 100% Remote job distribution.

Artificial Intelligence/Machine Learning Engineer

Wabash Valley Power

Indianapolis, IN • On-site, Remote

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago


Job description

Company Description

About Us
Headquartered in Indianapolis, Indiana, Wabash Valley Power is a not-for-profit electric cooperative and wholesale provider of reliable, affordable electricity to our 21 electric distribution member cooperatives. These cooperatives in turn serve more than 280,000 homes, businesses, and farms in Indiana and Illinois. 
As a not-for-profit co-op, we do things a bit differently-and that's the point. Because we aren't influenced by shareholders, we make our decisions with our members in mind. That means we value things like teamwork, and putting families first. It also means a business model that's designed for stability and growth. It's a Deliberately Different approach to the energy industry, and that's great news for the people who count on us.

What You'll Get
We believe what benefits our employees benefits our company. That's why we put employees first-your health, your family, and your development. These aren't just slogans: We offer continuing education, flex time, health benefits, a 401(k) match and pension plan, and much more. Here are just a few of the things that make our company culture unique:

  No Sweat  - We offer a wellness program that includes a payroll credit for medical insurance, an on-site fitness center for your convenience and extra vacation days for participating. We'll even throw in a fitness device reimbursement to keep you on track!
  Flex Time  - Our flexible schedule means you can work in your appointments or family events and maintain a comfortable work-life balance.
  Stay in School  - We value employees who have a desire to learn, so we provide funds for continuing education. We also offer in-house training and ongoing development through our internal GROW program.
  Keep it Casual  - When you work for us, you work in comfort.  Blue jeans are the norm in our office, and we make them look good!
  Work Hard, Play Hard  - We reward our employees with generous vacation time, to the tune of up to five weeks off a year. Even our new employees receive credit for prior work experience.

Job Description

This position will design, implement, and support artificial intelligence (AI)/machine learning (ML) systems as the subject matter expert for Wabash Valley Power Alliance. This position will work with all business units, member cooperatives, and business partners to automate and optimize workflows and processes while limiting business risks. Success requires a desire to work with a broad range of technologies, systems, and databases to benefit Wabash Valley Power and our Member Cooperatives.  This position will also identify and develop AI/ML education for Wabash Valley Power and member cooperative staff. 

This role is hybrid in nature, with a combination of on-site workdays and remote workdays. 

Essential Duties and Responsibilities: 

  • Maintain compliance with all company policies and procedures
  • Present artificial intelligence and data finding to technical and non-technical stakeholders
  • Design, implement, administer, monitor, and maintain artificial intelligence/machine learning systems
  • Design, analyze, and maintain system algorithms including data models, natural language models, and machine learning models
  • Train and evaluate artificial intelligence system to ensure systems remain accurate with limited hallucinations
  • Perform complex analysis on large data sets and communicate meaningful intelligence to Technical Service Leadership
  • Research, prototype, and recommend new technology platforms or systems to improve business workflows and reduce risks
  • Maintain a constant level of expertise in all artificial intelligence technologies including but not limited to generative AI, machine learning, natural language processing, and deep learning
  • Develop and maintain computer code need for artificial intelligence system and business automation systems
  • Develop and implement AI models for tasks such as:
    • Predictive maintenance: Analyze sensor data to predict equipment failures and optimize maintenance scheduling
    • Load forecasting: Improve the accuracy of electricity demand forecasts to ensure reliable and cost-effective power generation
  • Develop and present reports on systems and business workflows
  • Develop and foster relationships with universities AI/ML programs
  • Education end-users on AI/ML tools and how they can be used within the organization and member cooperatives
  • Perform additional activities needed to demonstrate regulatory compliance with NERC CIP security standards.
Qualifications
  • Bachelor's Degree in quantitative science, engineering, or other STEM field
  • Three to five years prior artificial intelligence/machine learning or data analysis experience
  • Excellent verbal and written communication skills, including ability to effectively communicate with internal and external customers
  • Excellent technology proficiency with a strong commitment to continuous learning
  • Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service
  • Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices

Preferred Experience: 

  • Any system, network, or cybersecurity related experience or certifications are a plus
  • Experience working with data rich problems in research or professional projects is a plus
  • Graduate degree in data science, computational science, or artificial intelligence is a plus
  • Experience with data analysis tools such as R and Python
Additional Information

All your information will be kept confidential according to EEO guidelines.