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Apprentice Machine Learning Testing Jobs in Kansas

Knowmadics

Senior Machine Learning Engineer

Wichita, KS

$93.50K - $128.40K/yr

Perform testing, troubleshooting, and quality assurance on systems or products * Ensure compliance ... Experience building machine learning models for unstructured data types (text, imagery, RF ...

Knowmadics

Senior Machine Learning Engineer

Wichita, KS · On-site

$93.50K - $128.40K/yr

Perform testing, troubleshooting, and quality assurance on systems or products * Ensure compliance ... Experience building machine learning models for unstructured data types (text, imagery, RF ...

StackAdapt

We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our ... Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using ...

PICTOR LABS INC

$89.70K - $123.20K/yr

Strong software engineering practices including version control (Git), CI/CD, unit testing, and production debugging * Excellent communication, collaboration, and technical documentation skills ...

P1 Group, Inc.

Plumber Pre-Apprentice

Lenexa, KS · On-site

The learning that takes place in apprenticeship has been assessed by the American Council on ... Testing pipes for leaks using air and water pressure gauges. * Install plumbing assemblies ...

AXIUS GROUP LLC

R&D Engineer Apprentice

Wichita, KS · On-site

SUMMARY The Research & Development Engineer Apprentice supports engineering and testing activities ... Experience may include automotive, aircraft, machining, welding, fabrication, motorsports ...

TSMG

AI/ML Data Contributor

Wichita, KS

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Wichita, KS

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Wichita, KS

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Wichita, KS

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Wichita, KS

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Maximus

AI/ML Software Developer

Wichita, KS · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data ...

Maximus

AI/ML Software Developer

Kansas City, KS · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data ...

Maximus

AI/ML Software Developer

Topeka, KS · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data ...

Maximus

AI/ML Software Developer

Pittsburg, KS · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data ...

Maximus

AI/ML Software Developer

Overland Park, KS · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management ... testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data ...

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Apprentice Machine Learning Testing information

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 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 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
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Knowmadics

Wichita, KS

$93.50K - $128.40K/yr

Full-time

Posted 19 days ago

Job description

Candidate should live within driving distance of the following areas: Wichita, KS; Lawton OK; or Round Rock, TX


JobPurpose/Summary

The Machine Learning Engineerwillbuild and integrate machine learning solutions into our next-generation space and critical infrastructure defense capabilities.Theywillleveragea variety of machine learning approaches to processvery largestreams of unstructured data in real time in scalable and secure cloud-native environments.As the first dedicated internal Machine Learning Engineer for this product, they willplay acriticalrole inrequirements generation, team leadership, andinfluencing the future of our products.

This is a demanding product development role, not a researchposition.Success on year one involves the design, training,optimization,validationand implementation of high-performance inference pipelinesat scale.The role will play a key part in building and delivering initial machine learning capabilities for our MVP offering and may evolve over time to include involvement in hiring and mentorship as the team grows.

Duties andResponsibilities

  • Lead the development+implementation ofreal-timefeature detection and anomaly detectionmodels
  • Generate data characteristic requirements for real-time data processing pipelines
  • Prepare technical documentation, reports, and specifications
  • Collaborate with cross-functional teams including project managers, technicians, and other engineers
  • Perform testing, troubleshooting, and quality assurance on systems or products
  • Ensure compliance with safety regulations, industry standards, and company policies

Qualifications

  • 7-10YoEas a SWE or ML engineer building applied research and/or production technologies
  • Expertiseon building production training and inference pipelines in python
  • A strong familiarity and personal preference for one or more deep learning libraries (ex.pytorch)
  • A comprehensive understanding of systems programming (a strongproficiencyin C would imply this)
  • An understanding of how ETL processing works and familiarity with some of the common tools (kafka, spark, etc.)
  • Experience building machine learning models for unstructured data types (text, imagery, RF, telemetry, etc.)
  • Experience with hardware acceleration (GPUs, CUDA) for training and inference workloads
  • Experience packaging and deploying trained inference models for use in production environments
  • Minimum education requirement: High school diploma
  • Eligible to obtain a U.S. Security Clearance - U.S. Citizenshiprequired.

Bonus Qualifications

  • Experience integrating trained inference pipelines into scalable cloud-native infrastructure
  • Experience building backend services and implementing API endpoints for scalable infrastructure
  • Experience building technology for air-gapped production deployment environments
  • Knowledge and experience with OCI technologies (docker,kubernetes,helmetc.)
  • B.S. or M.S. in an area relevant to this role

Working conditions

  • Employees may be called upon toparticipatein in-person meetings,training, or company functions atKnowmadicsoffices or other designated locations. Travel in support of business operations may also berequired, and employees are expected tocomply withthese obligations as part of their position.
  • Candidateshould live within driving distance of the following areas:Waldorf, Md;Wichita, KS;Lawton OK; or Round Rock, TX
  • Estimated Travel: 0-10%

Physical requirements

May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools.

Direct reports

None

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