ZipRecruiter

Log In

1

Mlops Machine Learning Engineer Jobs in Mosinee, WI

WEG Electric Corp.

Mechanical Designer

Wausau, WI · On-site

Create, revise, and maintain engineering documentation including bills of materials, routers ... Focus on learning core design standards, documentation practices, and manufacturing processes.

Marathon Electric

Mechanical Designer

Wausau, WI

Create, revise, and maintain engineering documentation including bills of materials, routers ... Focus on learning core design standards, documentation practices, and manufacturing processes.

Weg

Mechanical Designer

Wausau, WI · On-site

Create, revise, and maintain engineering documentation including bills of materials, routers ... Focus on learning core design standards, documentation practices, and manufacturing processes.

''

Industrial Mechanic II

Plover, WI · On-site

$24 - $31.25/hr

... relevant programming experience preferred. * Proficient in metalworking skills including TIG ... machinery such as lathe, mill, shear, brake, and ironworker. * Maintains a continuous learning ...

McCain Foods Limited

Industrial Mechanic II

Plover, WI · On-site

$24 - $31.25/hr

... relevant programming experience preferred. * Proficient in metalworking skills including TIG ... machinery such as lathe, mill, shear, brake, and ironworker. * Maintains a continuous learning ...

previous page

Showing results 41-58

All JobsMlops Machine Learning Engineer JobsMlops Machine Learning Engineer Jobs in Mosinee, WI

Mlops Machine Learning Engineer information

See Mosinee, WI salary details

$31.1K

$127.2K

$191.1K

How much do mlops machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for mlops machine learning engineer in Mosinee, WI is $127,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $153,100.00 per year, depending on experience, location, and employer.

What does an MLOps machine learning engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

What are the key skills and qualifications needed to thrive as an MLOps machine learning engineer?

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.

How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

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

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

Are MLOps machine learning engineers in demand?

MLOps machine learning engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

Do MLOps Machine Learning Engineers need a degree?

MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.

What cities near Mosinee, WI are hiring for Mlops Machine Learning Engineer jobs?

Cities near Mosinee, WI with the most Mlops Machine Learning Engineer job openings:

Mlops Machine Learning Engineer jobs near you
Infographic showing various Mlops Machine Learning Engineer job openings in Mosinee, WI as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $127,199 per year, or $61.2 per hour.

Electromechanical Maintenance Technician

MRINetwork Jobs

Stevens Point, WI • On-site

Full-time

Re-posted 29 days ago

Job description

Electromechanical Maintenance Technicians Needed

Several Openings | High-Growth Manufacturing | Central Wisconsin

We’re recruiting for several Electromechanical Maintenance Technician openings with a highly respected, fast-growing manufacturing company that is expanding aggressively and investing heavily in its operations.

This is a strong opportunity for maintenance technicians who like being hands-on, solving real equipment problems, and working in a production environment where maintenance is not an afterthought. This is not a “sit around and wait for something to break” job. This is a fast-moving, equipment-heavy operation where strong maintenance talent will be highly valued.

The company is adding people because the business is growing. Good problem to have.

What You’ll Be Doing:

In this role, you’ll support a high-volume manufacturing operation by performing:

  • Preventive maintenance, inspections, service, and repairs on production equipment
  • Electrical and mechanical troubleshooting
  • Machine overhauls, installations, equipment moves, and upgrades
  • Root cause analysis on equipment failures and unexpected breakdowns
  • Hydraulic, pneumatic, robotic, and automated equipment support
  • Replacement part installation, lubrication, machine cleaning, and general equipment upkeep
  • Work order documentation, parts ordering, reporting, and system updates through programs such as Microsoft Office and SAP
  • Weekend or holiday shutdown support when needed for major maintenance work or equipment projects

The position requires someone who takes safety seriously, keeps their work area organized, and understands that downtime matters in a production-focused facility.

What They’re Looking For:

The ideal candidate will bring a strong mix of electrical and mechanical aptitude, along with the willingness to keep learning.

Strong fit if you have experience with:

  • Industrial maintenance
  • Electrical and mechanical troubleshooting
  • Reading electrical schematics
  • Hydraulics and pneumatics
  • PLCs, especially Siemens TIA Portal
  • Welding, fabricating, plumbing, pipefitting, or conduit installation
  • Robotic programming and troubleshooting
  • Forklifts, cranes, pallet jacks, aerial lifts, and other plant equipment
  • Working safely around elevated platforms, confined spaces, and dirty or dusty industrial environments

A high school diploma or GED is required. An associate degree, vocational training, or related technical coursework is preferred, but hands-on industrial maintenance experience carries a lot of weight.

Why This Is Worth a Conversation:

This is a chance to get into a company that is growing quickly, adding maintenance talent, and offering the kind of industrial environment where a sharp electromechanical technician can make a visible impact.

For the right person, this is a solid move: stable company, strong growth, real equipment challenges, and multiple openings. That usually means they are serious about hiring, not just window shopping.