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Machine Learning Engineer Apprenticeship Jobs in Kansas

Knowmadics

Data Scientist

Wichita, KS · On-site

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 ...

StackAdapt

$105K - $138K/yr

... machine learning, bid price optimization, user-profile enrichment, and more. The StackAdapt bidding ... Lead and collaborate with a team of engineers to design, implement, and optimize our programmatic ...

Ag

HR AI/ML Engineer II

Wichita, KS · On-site

Design, develop, and deploy AI agents and machine learning models to solve complex HR challenges ... Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, and ...

Cybercoders

Data Scientist

Leawood, KS

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 ...

New

Deloitte

Data Scientist

Wichita, KS

... or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Accenture

Responsible AI Engineer

Overland Park, KS · On-site

Machine Learning Visualization Tools * Minimum of 3 years of experience in the following: * Proficiency in programming languages like Python, R, or Java. * Familiarity with AI and machine learning ...

The J.M. Smucker Company

Apprentice Engineer

Emporia, KS · On-site

Your Opportunity as Apprentice Engineer (Full-time) As a part of the Engineering Team, the employee ... Requisitions supplies, materials, tools, machine parts, and other necessary equipment. * May repair ...

J.M. Smucker Company

Apprentice Engineer

Emporia, KS · On-site

Your Opportunity as Apprentice Engineer (Full-time) As a part of the Engineering Team, the employee ... Requisitions supplies, materials, tools, machine parts, and other necessary equipment. * May repair ...

Epic

Entry-Level Software Developer

Wichita, KS · On-site

... Developer to write software that impacts the lives of millions of patients. The role involves ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

Epic

Entry-Level Software Developer

Overland Park, KS · On-site

... Developer to write software that impacts the lives of millions of patients. The role involves ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

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Machine Learning Engineer Apprenticeship information

What is a Machine Learning Engineer Apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

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

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What types of projects can I expect to work on during a Machine Learning Engineer Apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.
What are popular job titles related to Machine Learning Engineer Apprenticeship jobs in Kansas? For Machine Learning Engineer Apprenticeship jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Apprenticeship jobs in Kansas look for? The top searched job categories for Machine Learning Engineer Apprenticeship jobs in Kansas are:
What cities in Kansas are hiring for Machine Learning Engineer Apprenticeship jobs? Cities in Kansas with the most Machine Learning Engineer Apprenticeship job openings:
Machine Learning Engineer Apprenticeship jobs near you
Data Scientist

Data Scientist

Knowmadics

Wichita, KS • On-site

Full-time

Posted 7 hours ago

Job description

Candidate should live within driving distance of the following areas: Wichita, KS; 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 cybersecurity, space, and telecommunications. This individual contributor role will involve hands-on work collecting data, developing solutions to real-world problems using machine learning. Developed solutions are actively being productionized to support ongoing cybersecurity initiatives and other crucial infrastructure and security needs.
Duties and Responsibilities
  • Collaboratively develop data collection processes designing experiments to ensure quality and usefulness of data
  • Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and telecommunications, working with structured (time-series, tabular) and unstructured (text, 3D) data
  • Work with human factors specialists, and data/full stack engineers to define system requirements, review developed code, and support translating statistical concepts to coworkers
  • Support documentation of analysis results for semi-technical stakeholders
  • Occasionally support technical interactions like collaboration, including defining technical requirements for external data collections, and reviewing technical work

Qualifications
  • Minimum
    • Graduate-level education (Master's or PhD) in a quantitative field such as natural sciences, mathematics, statistics, economics, psychology, or a related discipline is preferred. Exceptional candidates with a bachelor's degree and substantial applied machine learning or data science experience may also be considered.
    • 2+ years professional experience with an open-source data science stack (e.g., pandas, numpy, pytorch, keras, tensorflow, pymc3, etc.)
    • 2+ years professional experience working with real-world, complex datasets
    • Experience communicating technical results to semi-technical audience
  • Preferred
    • Exposure to product-driven machine learning organization with deployed customer facing capabilities
    • Exposure to big data environment including tools for large-scale data storage and sensor-based data collection workflows
    • Experience with RF/Telecommunications physics, cybersecurity, or space operations
    • Experience with UAS operations, with Part 107 Remote Pilot Certification preferred

Working conditions
  • Employees may be called upon to participate in in-person meetings, trainings, or company functions at Knowmadics offices or other designated locations. Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position.
  • Some weekend work may be required based on project deadlines or operational needs.
  • Estimated Travel: 30-40%

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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