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

... 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 ...

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 ...

Develops and evaluates blueprints and engineering requirements of equipment to ensure sustainable ... , 3D printing, machine shop tools. Preferred Qualifications: * Understanding of statistical ...

Develops and evaluates blueprints and engineering requirements of equipment to ensure sustainable ... , 3D printing, machine shop tools. Preferred Qualifications: * Understanding of statistical ...

Engineer Reports to: Engineering Manager * Job Type: * Full Time * Exempt * Location: * Allegan, MI About RCI Adventure Products RCI Adventure Products designs and builds exciting adventure ...

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Machine Learning Engineer information

See Kalamazoo, MI salary details

$29.7K

$121.5K

$182.5K

How much do machine learning engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for machine learning engineer in Kalamazoo, MI is $121,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $146,200.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 are popular job titles related to Machine Learning Engineer jobs in Kalamazoo, MI? For Machine Learning Engineer jobs in Kalamazoo, MI, the most frequently searched job titles 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 June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $121,482 per year, or $58.4 per hour.

$22.45 - $24.95/hr

Other

Posted 28 days ago


Job description

Description

 Are you a highly motivated individual with a passion for precision and a desire to contribute to a dynamic manufacturing environment? 


Middleville Engineered Solutions  is seeking a skilled and dedicated Press Operator to join our growing team. In this role, you will play a crucial part in our manufacturing process, operating state-of-the-art presses to produce high-quality components.  You'll be a key player in a company that values innovation, teamwork, and continuous improvement. 

What You'll Do:

  • Become a Press Expert: Operate a variety of advanced presses, mastering setup, troubleshooting, and optimization techniques.
  • Champion Quality:  Ensure the production of top-notch components by conducting meticulous quality checks using precision measuring tools.
  • Drive Efficiency:  Maximize productivity by efficiently managing your workflow, minimizing downtime, and contributing to process improvements.
  • Embrace Technology: Utilize cutting-edge systems like Plex and Smart Pac to monitor production, order materials, and analyze performance.
  • Collaborate and Grow: Work closely with a talented team in a supportive environment that encourages continuous learning and development.

Why Choose Us:

  • Competitive Compensation and Benefits: We offer a comprehensive package that rewards your contributions.
  • Advanced Technology: Work with industry-leading equipment and software.
  • Growth Opportunities: Develop your skills and advance your career within a forward-thinking company.
  • Make a Real Impact: Play a vital role in the creation of products that make a difference.
  • Be Part of a Family: Join a company that values its employees and fosters a positive and inclusive work environment.

Requirements

EXPERIENCE

Minimum of twelve (12) months of press operating experience.


PHYSICAL REQUIREMENTS

Must have the ability to lift 50 pounds periodically and 30 pounds regularly. Must have the ability to stand for entire shift.


ERRORS

Errors could result in high monetary losses if machine is damaged, and adversely affect the Company's relationship with Customers. 


COMPLEXITY OF DUTIES

Duties are of a routine nature with loading and unloading of fixtures with some robot programming and maintenance. 


CONTACT WITH OTHERS

Must be able to communicate and interface well with Weld Leaders on a routine basis and be conscious of the effects responsibilities have on other departments. 


MENTAL OR VISUAL DEMAND

Mental and visual demand are not normally of a burdening nature, however some heavy concentration may be required when programming.


WORKING CONDITIONS

Exposed to regular plant conditions with dirt, oil, and smoke. Would not be considered always desirable conditions. 


SUPERVISION RECEIVED

Under direct supervision the Production Supervisor.