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Machine Learning Operations Jobs in Kalamazoo, MI

Abaxis

Operational Excellence Manager

Kalamazoo, MI · On-site

... learning's and ensure best practices are adopted throughout the operations. * Coach and train site ... machine or email address, directly to Zoetis employees, or to Zoetis resume database will be ...

Westrock

Press Operator

Allegan, MI · On-site

$14.50 - $18.75/hr

This role involves make-ready execution, press operation, preventative maintenance, and ... Clean, lubricate, and make minor machine adjustments to maintain consistent production quality.

Smurfit Westrock

Press Operator

Allegan, MI · On-site

$14.50 - $18.75/hr

This role involves make-ready execution, press operation, preventative maintenance, and ... Clean, lubricate, and make minor machine adjustments to maintain consistent production quality.

Flex-N-Gate

Assembly Line Tech 3rd Shift

Battle Creek, MI · On-site

$16.50 - $20.75/hr

Loading components into machine fixtures to produce parts * Operations of spot welders * Visual ... learning and development programs and tuition reimbursement • Paid holidays and vacation time ...

IDEX

Manufacturing Technician-2nd shift

Portage, MI · On-site

$30/hr

Operate machining equipment * Experience working on a manufacturing floor * Perform visual ... Opportunities for career growth, technical development, and continuous learning * Our second shift ...

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All JobsMachine Learning Operations JobsMachine Learning Operations Jobs in Kalamazoo, MI

Machine Learning Operations information

See Kalamazoo, MI salary details

$20

$37

$57

How much do machine learning operations jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for machine learning operations in Kalamazoo, MI is $37.63, according to ZipRecruiter salary data. Most workers in this role earn between $31.54 and $39.90 per hour, depending on experience, location, and employer.

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks above average compared to other tech roles.
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in Kalamazoo, MI as of August 2026, with employment types broken down into 69% Full Time, 15% Part Time, 8% Contract, and 8% Nights. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $78,278 per year, or $37.6 per hour.

Operational Excellence Manager

Abaxis

Kalamazoo, MI • On-site

Full-time

Re-posted 10 hours ago

Job description

Role Description

POSITION SUMMARY

The Operational Excellence (OpEx) Leader is a key individual contributor within the Kalamazoo Digital Transformation and Operational Excellence organization. The principal purpose of the role is to identify, initiate, and complete projects that drive business results. This involves strengthening the culture of continuous improvement and leading cross-functional teams through the rigorous application of Lean & Six Sigma methodologies to achieve measurable outcomes. This role supports the entire Kalamazoo site, partnering across all functions including Manufacturing, Quality, Laboratories, Warehouse, Supply Chain, and Finance to drive efficiency and eliminate waste. This position reports to the Senior Manager - Digital Transformation and Operational Excellence.

POSITION RESPONSIBILITIES

  • Conduct process evaluations and implement improvements to enhance efficiency and reduce waste.
  • Develop and manage Lean initiatives to improve system performance and efficiency.
  • Monitor the effectiveness of implemented Lean processes and make necessary adjustments.
  • Create and present reports on Lean initiatives and their impact to senior management.
  • Achieve aggressive operational targets with delivery of significant financial benefit.
  • Serve as a recognized expert to facilitate highly complex problem solving, value stream mapping and special data analysis as required.
  • Network both internally and externally to exchange learning's and ensure best practices are adopted throughout the operations.
  • Coach and train site colleagues on Lean methodology.

EDUCATION AND EXPERIENCE

  • Certified Lean Six Sigma Black Belt.
  • Minimum 5-10 years progressive work experience or equivalent in a business environment preferably manufacturing technical/engineering or supply chain management.
  • Strong understanding of Lean methodologies and principles.
  • Bachelor's degree in STEM field.
  • Demonstrated training and facilitation experience preferred.
  • Experience in data analysis and visualization preferred.

PHYSICAL REQUIREMENTS

  • The work environment includes both office and manufacturing settings.
  • Approximately 75% office-based and 25% walking/standing in manufacturing areas.
  • May require use of Personal Protective Equipment (PPE) such as gloves, eye protection, and protective clothing as per GMP standards.
  • Potential for limited domestic and/or international travel up to 5%.
  • Colleague will work in a facility that manufactures Cephalosporins and must not be Cephalosporin sensitive.
Full timeRegularColleague

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.

Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.

Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at zoetiscolleagueservices@zoetis.com to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at www.Zoetis.com/careers site, or (2) via email to/from addresses using only the Zoetis domain of "@zoetis.com". In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.
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About Abaxis

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

201 - 500 Employees

Headquarters location

Union City, CA, US

Year founded

1995

Social media

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