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Machine Learning Engineer Jobs in Kalamazoo, MI (NOW HIRING)

Quality Engineer

Battle Creek, MI

$67K - $87K/yr

Development and Continual Learning * Research and Analysis * Decision Making and Judgement ... Knowledge of production process, machines, tools, including design and uses. * Strong ...

Quality Engineer

Battle Creek, MI · On-site

$67K - $87K/yr

Development and Continual Learning * Research and Analysis * Decision Making and Judgement ... Knowledge of production process, machines, tools, including design and uses. * Strong ...

Quality Engineer

Battle Creek, MI · On-site

$67K - $87K/yr

Development and Continual Learning * Research and Analysis * Decision Making and Judgement ... Knowledge of production process, machines, tools, including design and uses. * Strong ...

Asst Manufacturing Engineer

Kalamazoo, MI · On-site

$69K - $88K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine parts, and assemblies to achieve efficient and reliable manufacturing processes and ... Gathers information about manufacturing processes by observing and learning from operators ...

New

Respond to emergencies and troubleshoot issues affecting day-to-day machine performance and ... Bachelor's degree in an engineering discipline * 3 or more years of working with and ...

Respond to emergencies and troubleshoot issues affecting day-to-day machine performance and ... Bachelor's degree in an engineering discipline * 3 or more years of working with and ...

Respond to emergencies and troubleshoot issues affecting day-to-day machine performance and ... Bachelor's degree in an engineering discipline * 3 or more years of working with and ...

CMM Programmer 2nd Shift

Battle Creek, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... the machine is properly working throughout programming scripts and tests. The incumbent is ... learning and development programs and tuition reimbursement • Paid holidays and vacation time ...

Engineering Intern

Portage, MI · On-site

$16 - $20.75/hr

... learning new technology, software, and engineering tools Strong mechanical aptitude and problem ... machining, or hands-on mechanical projects is a plus Why Join Depatie Fluid Power? Gain meaningful ...

Engineering Intern

Portage, MI

$16 - $20.75/hr

... learning new technology, software, and engineering tools Strong mechanical aptitude and problem ... machining, or hands-on mechanical projects is a plus Why Join Depatie Fluid Power? Gain meaningful ...

Engineering Intern

Portage, MI · On-site

$16 - $20.75/hr

Comfortable learning new technology, software, and engineering tools * Strong mechanical aptitude ... Experience with prototype building, machining, or hands-on mechanical projects is a plus Why Join ...

Statics Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Engineering Intern

Portage, MI · On-site

$16 - $20.75/hr

... ethic • Comfortable learning new technology, software, and engineering tools • Strong ... machining, or hands-on mechanical projects is a plus Why Join Depatie Fluid Power? • Gain ...

Showing results 21-40

Machine Learning Engineer information

See Kalamazoo, MI salary details

$29.8K

$122K

$183.3K

How much do machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning engineer in Kalamazoo, MI is $121,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $146,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Kalamazoo, MI?

The most popular types of Machine Learning Engineer jobs in Kalamazoo, MI are:

What job categories do people searching Machine Learning Engineer jobs in Kalamazoo, MI look for?

The top searched job categories for Machine Learning Engineer jobs in Kalamazoo, MI are:

What cities near Kalamazoo, MI are hiring for Machine Learning Engineer jobs?

Cities near Kalamazoo, MI with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Kalamazoo, MI as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,998 per year, or $58.7 per hour.

Quality Engineer

fng

Battle Creek, MI

$67K - $87K/yr

Full-time

Re-posted 2 days ago


Job description

Summary

The Quality Engineer supports and promotes plant wide quality improvement efforts.  Lead and maintain PPAP Process and supporting functions. Evaluate and develop improvement techniques for quality and reliability.  Maintain and report on the quality management systems using Process Audits (Layered, Flex-N-Gate, Customer required, Control plan audits). Works with employees, suppliers and customers to produce quality products that meet or exceed the customer and plant's requirements.  Coordinates Corrective Action and Continuous Quality Improvement.  

 Core Competencies 
  • Customer Focus
  • Communication
  • Energy and Stress 
  • Team Work            
  • Problem Solving
  • Time Management
  • Creative and Innovative Thinking
  • Development and Continual Learning
  • Research and Analysis
  • Decision Making and Judgement
  • Providing Consultation
  • Planning and Organizing
  • Mathematical Reasoning
  • Accountability and Dependability
  • Ethics and Integrity
  • Analytical GDT/Blueprint reading
  • Engineering specifications and understanding
Job Duties
  • Handle customer issues. Review customer testing requirements and ensure that systems are in place to meet them.
  • Work with suppliers to ensure testing requirements are being met and oversee PPAP process.
  • Ensure production is producing quality product to specifications.
  • Support upkeep of the calibration system.  Maintain records, ensure gages and equipment are calibrated within required time.
  • Provide support onsite to customer/suppliers as needed.
  • Support prototype builds (document according to prototype checklist inspection process).
  • Collect SPC data and report monthly; and work with manufacturing on process improvements.
  • Support manufacturing in the development of job instructions and procedures.
  • Document all activities as required.
  • Provide support and maintain compliance with all company guidelines, union contracts, International Quality Standards (ie ISO, IATF, etc.) and all applicable government regulations and standards.
  • Define and implement “Customers indicators” to monitor the satisfaction level of the customer and reporting back to management.  
  • Makes decisions with regard to disposition of non-conforming material and that proper containment and follow up is done. 
  • Perform additional assignments per manager’s direction.
  • Advise on improvements in tracking and reporting procedures.

 

Requirements

  • Preferred Certified Quality Engineer Certificate
  • Preferred 3-5 years’ of related work experience.
  • Knowledge of Six Sigma
  • Knowledge of production process, machines, tools, including design and uses.
  • Strong organizational skills.
  • Strong communication skills (both verbal and written).
  • Proficiency with database applications and administration systems, specifically Microsoft Office and the use of statistical software.
  • Ability to work effectively alone and prioritize.
  • Must be a highly motivated, service and team-oriented individual with an attention to detail.
  • Enthusiasm for challenge and new initiatives are prerequisites.
  • Strong analytical ability
  • Supervisory and interpersonal skills are required
  • Troubleshooting ability is required
  • Strong decision making and problem solving skills
  • Demonstrated good internal and external customer service skills
  • Good presentation skills
  • Ability to manage multiple projects.
  • GDT/Blueprint reading
  • Engineering specifications and understanding