1

Machine Learning Engineer Associate Jobs in Kansas

System Engineer - Cloud

Topeka, KS · On-site +1

$61K - $76K/yr

Commit to continuous learning and professional development. Education and Experience Requirements ... Azure AI Engineer Associate (AI-102) o Microsoft Certified: Azure Fundamentals (AZ-900) Skills ...

This role builds, tests, and deploys scalable solutions using Generative AI and Machine Learning (ML) foundational models. The AI Engineer is a product-minded, hands-on technical contributor who ...

You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you ... Engineer to support our Agentic DevOps initiatives. This role is ideal for a hands-on technical ...

Senior AI/ML Engineer

Topeka, KS · On-site +1

$98K - $135K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

The BioIntelligence team applies machine learning, statistical modeling, and generative AI approaches to predict critical properties of engineered biologics and enable data-driven therapeutic design.

We are seeking an AI Engineer II - Translation that will design and optimize machine learning solutions that enhance Propio's translation and localization capabilities, working closely with the ...

New

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

CNC Machine Operator

Olathe, KS · On-site

$20 - $28/hr

As a CNC Machine Operator , you'll work with advanced technologies such as AI, Machine Learning ... You'll contribute to state-of-the-art projects that push the boundaries of engineering and ...

As a CNC Machine Operator , you'll work with advanced technologies such as AI, Machine Learning ... You'll contribute to state-of-the-art projects that push the boundaries of engineering and ...

Lawton OK; or Round Rock, TX Job Purpose/Summary Work with our team of engineers, scientists and human factors professionals to develop machine learning and other algorithm data capabilities for ...

Lawton OK; or Round Rock, TX Job Purpose/Summary Work with our team of engineers, scientists and human factors professionals to develop machine learning and other algorithm data capabilities for ...

AI Engineer

Leawood, KS

$111K - $133K/yr

Bachelor's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience. * 4+ years of ...

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Bachelor's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience. * 4+ years of ...

next page

Showing results 1-20

Machine Learning Engineer Associate information

See Kansas salary details

$37K

$73.7K

$117.7K

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

As of Jun 18, 2026, the average yearly pay for machine learning engineer associate in Kansas is $73,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $84,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Kansas? The most popular types of Machine Learning Engineer jobs in Kansas are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Kansas? For Machine Learning Engineer Associate jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Kansas look for? The top searched job categories for Machine Learning Engineer Associate jobs in Kansas are:
What cities in Kansas are hiring for Machine Learning Engineer Associate jobs? Cities in Kansas with the most Machine Learning Engineer Associate job openings:
System Engineer - Cloud

System Engineer - Cloud

Evergy

Topeka, KS • On-site, Remote

$61K - $76K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Evergy rating

8.6

Company rating: 8.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

SUMMARY OF JOB RESPONSIBILITIES AND REQUIREMENTS 


JOB TITLE: System Engineer - Cloud
REQUISITION ID: INF00EO
DEPARTMENT: IT Data Center - Topeka General Office
LOCATION: Topeka, KS or Kansas City, MO, and Remote.
PAY RANGE: 
System Engineer I - $61,000 - $76,300
System Engineer II - $74,700 - $93,400
Sr System Engineer - $84,500 - $112,600
Scheduled Work Hours:    Monday - Friday, 8:00 a.m. - 5:00 p.m. (Other hours as required)


Summary of Primary Duties and Responsibilities:  
This position assumes a role in the deployment, design, configuration, monitoring, and maintenance of cloud infrastructure and applications. Contribute as part of a team in the installation, upgrade and configuration of infrastructure applications.
   Monitor and test cloud infrastructure and applications to identify potential points of failure and recommend corrective actions. 
   Design, implement, and manage scalable, secure, and resilient Azure cloud solutions. 
   Participate in architecture and design discussions, offering best practice guidance for Azure services. 
   Administer deployment, configuration, and maintenance of cloud resources.
   Automate infrastructure using platforms such as ARM templates, Bicep, Terraform, Azure CLI, and Ansible AWX. 
   Monitor performance and availability using Azure Monitor, Log Analytics, Application Insights, or similar tools
   Collaborate with senior engineers to respond to incidents and service requests. 
   Analyze and optimize cloud costs using tools such as Azure Cost Management and FinOps practices.
   Contribute to and help enforce security and governance standards (e.g., Azure Policy, RBAC, and Zero Trust principles).
   Gather solution requirements with a consultant mindset and assist in producing architectural recommendations. 
   Implement and support core Azure platform services, including networking, identity, monitoring, and governance components.
   Support hybrid cloud integrations, including identity, networking, and on-premises connectivity where applicable.
   Contribute to automation-first and infrastructure-as-code strategies to reduce manual operational effort.
   Commit to continuous learning and professional development.
 

Education and Experience Requirements:
   Ideal candidate has the following:
o    Bachelors Degree in Computer Science, Information Technology or equivalent experience.
AND
o    3 - 5 years of Azure systems administration experience working within an organization's cloud environment.
   The following certifications are a plus:
o    Microsoft Certified: AZ-104 Microsoft Azure Administrator
o    Microsoft Certified: Identity and Access Administrator Associate (SC-300)
o    Microsoft Certified: Azure Security Engineer Associate (AZ-500)
o    Microsoft Certified: Azure AI Engineer Associate (AI-102)
o    Microsoft Certified: Azure Fundamentals (AZ-900)

Skills, Knowledge, and Abilities Required:
   Understanding of cloud operating models, shared responsibility principles, and cloud security fundamentals.
   Familiarity with CI/CD processes, Git workflows, and infrastructure as code pipelines.
   Experience with scripting or automation using tools such as PowerShell, Python, or similar languages
   Working knowledge of multiple operating/networking systems with expertise in at least one system.
   Working knowledge of business goals, corporate IT standards, strategy and service level agreements.
   Communicates effectively with all levels of employees, both technical and non-technical.
   Establishes cooperative relationships with other departments.
   Effective project team member.
   Searches for and identifies alternative and/or innovative solutions to technical problems.
   Uses planning skills to manage and complete projects on time and on budget.
   Exercises sound judgment when making decisions.
   Quickly adapts to multiple demands and rapidly changing priorities.


Licenses, Certifications, Bonding, and/or Testing Required:  None


Working Conditions: Normal office working conditions.

Evergy has a clear mission - To empower a better future. Evergy chooses to live this mission by valuing People First. We know that to lead the responsible energy transition and provide affordable, reliable, and sustainable service to our customers and communities, we need a team with a variety of backgrounds, perspectives and skills. We are committed to building a team where everyone - regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status - has a voice and can bring their best every day. Evergy is proud to be an equal opportunity workplace and is an affirmative action employer.