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Remote Machine Learning Engineer Jobs in Carmel, IN

Machine Learning Tutor

Indianapolis, IN ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Data Engineer

Indianapolis, IN ยท 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 ยท 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 ยท Remote

$117K - $140K/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

AI Software Engineer

Anderson, IN ยท On-site +1

$48.25 - $64/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Research Scientist Senior

Indianapolis, IN ยท On-site +1

$94K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Successfully delivers scalable machine learning solutions from concept through deployment and measurable operational impact. * Partners effectively across business, research, engineering, analytics ...

Research Scientist Senior

Indianapolis, IN ยท On-site +1

$94K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Successfully delivers scalable machine learning solutions from concept through deployment and measurable operational impact. * Partners effectively across business, research, engineering, analytics ...

Data Architect

Anderson, IN ยท On-site +1

$55.25 - $71/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Senior AI Engineer

Indianapolis, IN ยท On-site +1

$99K - $137K/yr

  • PTO

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

SVP, Chief Technology Officer (CTO)

Indianapolis, IN ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Enterprise Data Engineering * Artificial Intelligence & Intelligent Automation * Enterprise ... Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and ...

Be Seen First

Automation & Controls Engineer - IIoT Remote 12 months contract on W2 Description: 1. Industrial ... Identification of machine controllers (Allen Bradley, Rockwell, Beckhoff, Rexroth) and options to ...

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Remote Machine Learning Engineer information

See Carmel, IN salary details

$31.5K

$128.6K

$193.2K

How much do remote machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote machine learning engineer in Carmel, IN is $128,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,800.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Carmel, IN?

The most popular types of Machine Learning Engineer jobs in Carmel, IN are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Carmel, IN?

For Remote Machine Learning Engineer jobs in Carmel, IN, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Carmel, IN look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Carmel, IN are:

What cities near Carmel, IN are hiring for Remote Machine Learning Engineer jobs?

Cities near Carmel, IN with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Carmel, IN as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,569 per year, or $61.8 per hour.

Artificial Intelligence/Machine Learning Engineer

Wabash Valley Power

Indianapolis, IN โ€ข On-site, Remote

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 17 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.ย 
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:

ย ย No Sweatย  - We offer a wellness program that includes a payroll credit for medical insurance, an on-site fitness center for your convenienceย and extra vacation days for participating. We'll even throw in a fitness deviceย reimbursement to keep you on track!
ย ย Flex Timeย  - Our flexible schedule means you can work in your appointments or family events andย maintain a comfortable work-life balance.
ย ย Stay in Schoolย  -ย We value employees who have a desire to learn, so we provide funds for continuingย education. We also offer in-house training and ongoing development through ourย internal GROW program.
ย ย Keep it Casualย ย - When you work for us, you work in comfort.ย  Blue jeans are the norm in our office, andย we make them look good!
ย ย Work Hard, Play Hardย  - We reward our employees with generous vacation time, to the tune of up to five weeks offย 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.ย  This position will also identify and develop AI/ML education for Wabash Valley Power and member cooperative staff.ย 

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

Essential Duties and Responsibilities:ย 

  • 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:ย 

  • 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.