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Apprentice Machine Learning Testing Jobs in Kansas

Cybercoders

Data Scientist

Leawood, KS · On-site

Experience with model monitoring, A/B testing, model governance, and agent quality evaluation for conversational agents or automated decision systems. * Solid understanding of machine learning ...

Carrier

Apprentice Yr 1-2

Lenexa, KS · On-site

$16.75 - $21.50/hr

... learning. Being great at this job means combining deep technical knowledge with top-notch ... Service refrigeration equipment including refrigerators, ice machines, gas packs, and heat pumps

Varsity Tutors

Data Science Tutor

Overland Park, KS · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Wichita, KS · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Ascend Learning

AI Engineer

Leawood, KS · On-site

From testing to certification, Ascend Learning products are used by physicians, emergency medical ... This role builds, tests, and deploys scalable solutions using Generative AI and Machine Learning ...

GE Aerospace

Software Engineer AI/ML

Overland Park, KS · On-site

$108K - $130K/yr

... machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ... Lean/Agile/XP , CI/CD, automated testing, secure coding, scalability patterns, documentation-as ...

General Motors

Senior AI/ML Engineer

Topeka, KS · On-site +1

$98K - $135K/yr

Experience with computer vision , machine learning , or data‑centric AI projects -- especially ... Experience with A/B testing and telemetry/observability systems to measure impact and reliability.

T Mobile US

Associate AI Engineer

Overland Park, KS

$80K - $146K/yr

... testing, refinement, and optimization. * Cloud Computing: Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) used for data processing, machine learning, and AI ...

Sunlighten

Data Scientist - Applied AI & ML

Leawood, KS · On-site

Machine Learning and Predictive Modeling * Own and improve existing ML models used by the business ... testing, and rollback criteria * Implement or support automated checks for model quality, data ...

Sunlighten

Data Scientist - Applied AI & ML

Leawood, KS · On-site

Machine Learning and Predictive Modeling * Own and improve existing ML models used by the business ... testing, and rollback criteria * Implement or support automated checks for model quality, data ...

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Apprentice Machine Learning Testing information

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Kansas? For Apprentice Machine Learning Testing jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Kansas look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Kansas are:
What cities in Kansas are hiring for Apprentice Machine Learning Testing jobs? Cities in Kansas with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you
Data Scientist

Data Scientist

Cybercoders

Leawood, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist

Position Overview
We are seeking a pragmatic, results-oriented Data Scientist focused on Applied AI & ML to design, develop, and deploy production-ready machine learning and LLM-powered solutions. The role combines strong ML engineering, LLM and RAG experience, data platform know-how (lakehouse, Azure, Fabric), and business intelligence skills to support analytic products, data-driven decisions, and agent/AI quality. You will partner with cross-functional teams to translate business problems into scalable AI solutions, implement retrieval-augmented generation (RAG) systems, and maintain data pipelines and monitoring for model performance and reliability.
Key Responsibilities

  • Design, develop, and deploy machine learning models and LLM-based solutions (including retrieval-augmented generation) to solve business problems and automate decision processes.
  • Build and maintain data pipelines and lakehouse integrations on Azure and Microsoft Fabric to ensure reliable data access for training, inference, and BI reporting.
  • Implement, evaluate, and optimize LLMs and prompt engineering techniques for production use, including fine-tuning, retrieval strategies, and hybrid retrieval-indexing architectures.
  • Collaborate with engineering, product, and analytics teams to define requirements, deliver prototypes, production models, and end-to-end solutions that provide measurable business value.
  • Develop tooling and processes for model governance, versioning, monitoring, A/B testing, and agent quality assessment to ensure robust, safe, and auditable AI systems.
  • Create and maintain SQL queries, Python scripts, and ETL processes to support feature engineering, training data preparation, and operational inference workloads.
  • Deliver BI dashboards and reports (Power BI) and provide data support to stakeholders, translating model outputs into actionable insights and recommendations.
  • Optimize model performance and cost across cloud infrastructure, including compute, storage, and inference pipelines on Azure.
  • Document solutions, best practices, and runbooks; mentor junior team members and contribute to continuous improvement of AI/ML practices.

Qualifications

  • Bachelors or Masters degree in Computer Science, Data Science, Statistics, Engineering, or a related field; PhD preferred but not required.
  • 3+ years experience in applied machine learning, data science, or ML engineering, with a track record of delivering production ML or AI solutions.
  • Hands-on experience with large language models (LLMs), prompt engineering, fine-tuning, and building retrieval-augmented generation (RAG) systems.
  • Strong programming skills in Python and experience writing performant SQL for feature extraction and analysis.
  • Experience with cloud platforms preferably Azure and familiarity with Microsoft Fabric, lakehouse architectures, and cloud-native data services.
  • Proficiency in BI tools, particularly Power BI, to build dashboards and communicate analytical insights to business stakeholders.
  • Experience with model monitoring, A/B testing, model governance, and agent quality evaluation for conversational agents or automated decision systems.
  • Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, feature engineering) and MLOps practices.
  • Excellent communication skills and ability to work cross-functionally to translate business needs into technical solutions.
  • Preferred: experience with additional tools and libraries for LLM deployment (e.g., LangChain, Hugging Face, Azure OpenAI), and familiarity with containerization and CI/CD for ML workflows.

Benefits

  • Health
  • Dental
  • Vision
  • 401(k)
  • Profit Sharing
  • On-Site Fitness Center
  • PTO + Floating Holidays
- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 06/18/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.
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About CyberCoders

Sourced by ZipRecruiter

CyberCoders is a cutting-edge recruiting firm headquartered in Irvine, CA, US. The company operates within the technology industry, specializing in connecting talented professionals with suitable positions across a variety of sectors. Offering a broad spectrum of services, CyberCoders uses innovative, data-driven strategies and a proprietary matching technology to pair candidates with suitable job openings. Since its inception in 1999, CyberCoders has distinguished itself as an industry trailblazer. The company's mission is to deliver effective talent solutions, thus enabling both businesses and workers to achieve their goals.

Industry

Technology, communication and media

Company size

51 - 200 Employees

Headquarters location

Irvine, CA, US

Year founded

1999

Social media

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