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Ml Engineer Intern Jobs in Indiana (NOW HIRING)

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Ml Engineer Intern information

What is an ML Engineer Intern?

ML (Machine Learning) Engineer Interns are students or recent graduates who assist in designing, building, and deploying machine learning models under the guidance of experienced professionals. Their responsibilities often include data preprocessing, experimenting with algorithms, evaluating model performance, and collaborating with software engineers and data scientists. ML Engineer Interns gain hands-on experience with programming languages like Python, libraries such as TensorFlow or PyTorch, and tools for data analysis. This role is a valuable opportunity to learn how machine learning solutions are developed and applied in real-world scenarios.

What does an ML Engineer Intern do?

As an ML Engineer Intern, you can expect to work on a variety of projects ranging from data preprocessing and cleaning to building and testing machine learning models under the guidance of senior engineers. Interns often contribute to tasks such as feature engineering, model evaluation, and deploying models into production environments. You may also collaborate with data scientists and software engineers to integrate ML solutions into larger systems or products. This hands-on experience not only helps develop your technical skills but also provides insight into industry-standard workflows and team structures.

What are the key skills and qualifications needed to thrive as an ML Engineer Intern?

To thrive as an ML Engineer Intern, you need a solid foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by coursework or hands-on projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is expected. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and learn quickly in team environments. These skills are important because they enable interns to contribute meaningfully to real ML projects while rapidly acquiring new knowledge and adapting to evolving technologies.

What is the difference between Ml Engineer Intern vs Data Scientist Intern?

AspectML Engineer InternData Scientist Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of machine learning frameworksSimilar educational background; strong statistical and analytical skills; familiarity with data analysis tools
Work EnvironmentFocus on developing and deploying machine learning models, coding in Python, TensorFlow, or PyTorchFocus on analyzing data, creating visualizations, and deriving insights from datasets
Employer & Industry UsageCommon in tech companies, AI startups, and research labsWidely used across tech, finance, healthcare, and consulting firms

Both roles are entry-level internships requiring a background in data-related fields. ML Engineer Interns focus on building and deploying machine learning models, while Data Scientist Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and daily tasks.

What are the most commonly searched types of Ml Engineer jobs in Indiana?

The most popular types of Ml Engineer jobs in Indiana are:

What are popular job titles related to Ml Engineer Intern jobs in Indiana?

For Ml Engineer Intern jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Ml Engineer Intern jobs?

Cities in Indiana with the most Ml Engineer Intern job openings:

Infographic showing various Ml Engineer Intern job openings in Indiana as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Data Analytics Developer Internship

Toyota Material Handling North America

Columbus, IN โ€ข On-site

$20 - $30/hr

Other

Posted 4 days ago


Job description

Job Description
Join our Team as a Data Analytics Developer Intern!
The Role:
We're seeking a motivated Data Analytics Developer Intern to join our team in Summer 2027! This internship offers hands-on experience in enterprise data & advanced analytics, where you'll work on meaningful projects and gain insight into enterprise analytics, AI/ML, Power BI, and digital data consolidation. You'll collaborate with the IT Data & Advanced Analytics team, as well as mentors and leadership, building skills that will help launch your career!
What You'll Be Doing:
  • Work on new AI solutions and how to incorporate them into systems and front ends
  • Data discovery at TMHNA (core business systems, new digital initiatives)
  • Data Engineering - Learn how to extract data from these sources and develop data pipeline
  • Data Analytics -Properly model the extracted data. Combine the extracted data with the current structured data and coming up with new insights and ways to present insight and visuals to the business
  • How to leverage data from IOT, Telematics and other new digital initiatives
  • Collaborate with cross-functional teams.

What We're Looking For:
  • Cumulative GPA of at least 3.0
  • Currently enrolled in a degree program in Information Technology, Computer Science or related field
  • Proficient in Microsoft Excel and high volume data analytics
  • Experience working with technology as related to date analytics
  • Demonstrated creative problem solving skills with an emphasis on teamwork
  • Ability to research and resolve critical issues that are deadline driven
  • Motived self-started with strong attention to detail and critical thinking
  • Strong verbal and written communication skills, decision making ability, and customer service attitude with emphasis on accuracy are required

What Sets You Apart:
  • Strong communication and organizational skills
  • Ability to work independently and in a team environment
  • Eagerness to learn and take on new challenges
  • Experience with Snowflake or Power BI is a plus, but not mandatory

Where and When You'll Work:
  • Enjoy the best of both worlds with a hybrid schedule-collaborate in person at our Columbus, IN office and work remotely Thursdays and Fridays.

What You'll Get in Return:
Wage - $20.00 - $30.00+ per hour. Compensation depends on the selected candidate's education and experience.
Early Career Benefits:
  • Paid Housing (furnishings, utilities, & Wi-Fi included) - eligibility limited to employees residing 50+ miles outside the work location
  • Hands-On Experience in enterprise data & advanced analytics
  • Mentorship from Experienced Professionals
  • Direct Exposure to Senior Leadership & Executive Team
  • Company-Sponsored Events & Intern Socials
  • Paid Community Service Hours
  • Onsite Fitness Center & Occupational Health Clinic
  • Mental Health Advocate Services
  • Best in class work culture!

Big Name | Big Opportunities | Life is Better at Toyota
Toyota Material Handling North America (TMHNA), the industry leader in forklift sales, comprises two main brands: Toyota Material Handling and The Raymond Corporation. We believe investing in the best people, products, and processes will fuel our future success, and we will always be driven by our foundational principles of "respect for people" and "continuous improvement". With opportunities across North America, we are confident you will find the right position within TMHNA that can help you build a long, fulfilling career.
Learn more here:
Follow us on Social Media: Working at Toyota Material Handling | Glassdoor