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Machine Learning Operations Intern - Remote

Remote: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 
Wisconsin (USA), United States

Offer summary

Qualifications:

Currently pursuing a degree in Computer Science or related field., GPA of 3.2 or higher., Basic understanding of machine learning concepts., Familiarity with Python or R programming..

Key responsabilities:

  • Assist in deployment and maintenance of ML models.
  • Monitor model performance and implement improvements.
  • Collaborate with data professionals for seamless integration.
  • Develop and maintain documentation for ML Ops workflows.
Altra Industrial Motion Corp. logo
Altra Industrial Motion Corp. XLarge https://www.regalrexnord.com/
10001 Employees
See more Altra Industrial Motion Corp. offers

Job description

SCOPE OF ROLE

The Regal Rexnord Information Technology Internship Program is a fulltime, 10-week paid internship at our Grafton and Milwaukee offices starting June 2025.

Are you ready to embark on an exciting journey in the world of MLOps? At our organization, we are passionate about driving digital transformation through cutting-edge technologies. We believe in nurturing young talent and providing them with hands-on experience to shape their careers. Regal Rexnord is pushing the boundaries of innovation and technology, and we want you to be a part of our groundbreaking team as an MLOps Intern. 

As an intern with us, you’ll gain unparalleled hands-on experience with the latest machine learning and operations technologies, all while being mentored by industry leaders who are passionate about your success. 

Our culture is built on innovation with purpose, customer success, collaboration, and continuous learning. We believe in empowering everyone to reach their full potential, offering you the chance to work on real-world challenges that will shape the future of MLOps. Plus, you’ll be joining a community that celebrates diversity and supports your professional development every step of the way. 

Key Responsibilities: 

  • Assist in the deployment and maintenance of machine learning models in production environments. 

  • Monitor model performance and implement strategies for continuous improvement. 

  • Collaborate with data scientists, software engineers, and IT professionals to ensure seamless integration of ML models. 

  • Develop and maintain documentation for ML Ops processes and workflows. 

  • Support the automation of model training, testing, and deployment pipelines. 

  • Troubleshoot and resolve issues related to model deployment and performance. 

  • Participate in code reviews and contribute to the development of best practices for ML Ops. 

Qualifications: 

  • Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.

  • GPA of 3.2 or higher

  • Basic understanding of machine learning concepts and algorithms. 

  • Familiarity with programming languages such as Python or R. 

  • Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. 

  • Knowledge of containerization technologies (e.g., Docker, Kubernetes) is desirable. 

  • Strong analytical and problem-solving skills. 

  • Excellent communication and teamwork abilities. 

  • Eagerness to learn and adapt in a fast-paced environment. 

About Regal Rexnord

Regal Rexnord is a $6.5B publicly held global industrial manufacturer with 30,000 associates around the world who help create a better tomorrow by providing sustainable solutions that power, transmit and control motion. The Company’s electric motors and air moving subsystems provide the power to create motion. A portfolio of highly engineered power transmission components and subsystems efficiently transmits motion to power industrial applications. The Company’s automation offering, comprised of controls, actuators, drives, and precision motors, controls motion in applications ranging from factory automation to precision control in surgical tools.

The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.

Regal Rexnord is comprised of three operating segments: Industrial Powertrain Solutions, Power Efficiency Solutions, and Automation & Motion Control. Regal Rexnord has offices and manufacturing, sales and service facilities worldwide. For more information, including a copy of our Sustainability Report, visit RegalRexnord.com.

Equal Employment Opportunity Statement

Regal Rexnord is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity, age, ancestry, national origin, marital status, citizenship status (unless required by the applicable law or government contract), disability or protected veteran status or any other status or characteristic protected by law. Regal Rexnord is committed to a diverse and inclusive workforce. We are committed to building a team that represents diverse and inclusive backgrounds, perspectives, and skills. If you’d like to view a copy of the company’s affirmative action plan or policy statement, please email Recruiting@RegalRexnord.com.  If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail Recruiting@RegalRexnord.com.

Equal Employment Opportunity Posters

Notification to Agencies: Please note that Regal Rexnord Corporation and its affiliates and subsidiaries ("Regal Rexnord") do not accept unsolicited resumes or calls from third-party recruiters or employment agencies. In the absence of a signed Master Service Agreement or similar contract and approval from HR to submit resumes for a specific requisition, Regal Rexnord will not consider or approve payment to any third-parties for hires made.

Required profile

Experience

Level of experience: Entry-level / graduate
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Communication
  • Analytical Skills
  • Teamwork
  • Willingness To Learn

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