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Mlops Machine Learning Engineer Jobs in Mosinee, WI

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

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

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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 Aug 9, 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.

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.

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.
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 8% As Needed, 75% Full Time, and 17% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $127,199 per year, or $61.2 per hour.

Mechanical Designer

Marathon Electric

Wausau, WI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Since 1913, Marathon Electric has been dedicated to providing customers with high-quality generators for targeted applications. In 2024, Marathon Electric became part of WEG Group.

Founded in 1961, WEG is a global electric-electronic equipment company operating primarily in the capital goods sector, delivering solutions in electric machines, automation, and paints for a wide range of industries-including infrastructure, steel, pulp and paper, oil and gas, mining, and more. WEG is recognized globally for innovation, continuously developing solutions aligned with major trends in energy efficiency, renewable energy, and electric mobility. With manufacturing operations in 12 countries and a presence in more than 135 countries, WEG employs over 40,000 people worldwide.

We value professional and personal development, human rights, diversity, and environmental responsibility. We invest in solutions to reduce carbon emissions and encourage employee engagement in social initiatives focused on health and education. Our culture is collaborative and team-oriented, promoting open communication, knowledge sharing, and continuous improvement.

Position Summary

The Mechanical Designer applies engineering and design principles to support the development, documentation, and continuous improvement of motors and generators. This role focuses on creating and maintaining bills of materials, drawings, and specifications while partnering closely with engineering, manufacturing, and cross-functional teams to deliver high-quality products efficiently and cost-effectively.

This position is well-suited for entry-level designers with a 2-year degree as well as experienced professionals with a 4-year degree looking to grow within a manufacturing environment.

Key Responsibilities

  • Create, revise, and maintain engineering documentation including bills of materials, routers, submittals, detailed drawings, revisions, and installation instructions
  • Support manufacturing by resolving issues related to drawings, materials, and manufacturing methods
  • Collaborate with design engineering, marketing, manufacturing, and purchasing teams to support quality, innovation, and customer satisfaction
  • Follow and help maintain standard processes, procedures, and engineering documentation practices
  • Participate in special projects and cross-functional initiatives as needed
  • Adapt to changing priorities, schedules, and deadlines in a fast-paced manufacturing environment
  • Communicate technical ideas clearly and logically, both verbally and in writing
  • Analyze information methodically to support effective problem-solving and decision-making
  • Evaluate multiple solutions and work through obstacles efficiently
  • Work independently while also contributing effectively within a collaborative team environment
  • Support Lean Manufacturing, Kaizen events, and continuous improvement activities
  • Perform other duties as assigned

Qualifications

  • Associate's degree in Mechanical Design or related field required
    • Bachelor's degree in Mechanical Engineering or related discipline preferred for more experienced candidates
  • Strong verbal and written communication skills
  • Technical aptitude with an understanding of manufacturing processes
  • Proficiency with ERP systems, 3D modeling/CAD software, Microsoft Office, and other project-based software tools
  • Ability to communicate effectively across departments and levels of the organization
  • Strong attention to detail, accuracy, and quality
  • Solid problem-solving and analytical skills
  • Willingness and ability to learn new processes and adapt to changing work situations
  • Dependable, team-oriented, and quality-focused

Role Leveling & Career Progression

This position may be filled at different levels based on the candidate's education, experience, and demonstrated capabilities.

  • Entry-Level Candidates (typically Associate's degree or early career):
    Focus on learning core design standards, documentation practices, and manufacturing processes. Responsibilities will emphasize supporting existing designs, creating and revising drawings and bills of materials, and collaborating with experienced designers and engineers while developing technical and problem-solving skills.
  • Experienced Candidates (typically Bachelor's degree and/or relevant industry experience):
    Take on broader responsibility for independent design work, complex documentation, and cross-functional problem-solving. Expected to contribute to continuous improvement initiatives, support more complex projects, and mentor less experienced team members as appropriate.

Advancement within the role is based on demonstrated performance, technical proficiency, collaboration, and business impact-not solely tenure or degree level.

Benefits

  • 401(k) with company match
  • Medical, dental, and vision insurance
  • Health savings account (HSA) and flexible spending account (FSA)
  • Life insurance
  • Paid time off
  • Tuition reimbursement
  • Employee assistance program
  • Employee discount
  • Referral program

Founded in 1961, WEG is a global electric-electronic equipment company, operating mainly in the capital goods sector with solutions in electric machines, automation and paints for several sectors, including infrastructure, steel, pulp and paper, oil and gas, mining, among many others.

WEG stands out in innovation by constantly developing solutions to meet the major trends in energy efficiency, renewable energy and electric mobility. With manufacturing units in 17 countries and present in more than 135 countries, the company has more than 45,000 employees worldwide.

WEG's net revenue reached R$ 32.5 billion in 2023, 52.9% from outside Brazil.

Our business areas are divided as follows.

Industrial Electro-Electronic Equipment
This area includes electric motors, drives and industrial automation equipment and services, and maintenance services. Electric motors and other related equipment find applications in practically all industrial segments, in equipment such as compressors, pumps and fans, for example.

Energy Generation, Transmission and Distribution (GTD)
Products and services included in this area are electric generators for hydraulic and thermal power plants (biomass), hydro turbines (small hydroelectric plants or PCH, and hydroelectric generators or CGH)), wind turbines, transformers, substations, control panels and system integration services.

Commercial and Appliance Motors
In this business area, our focus is the market of single phase motors for durable consumer goods, such as washing machines, air conditioners, water pumps, among others.

Paints and Varnishes
In this area, which includes liquid paints, powder paints, and electro-insulating varnishes, we have a very clear focus on industrial applications in Brazil and are expanding to Latin America and other regions.

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