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Edge Ai Machine Learning Jobs in Kansas (NOW HIRING)

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

In this role, you will assist in improving machine learning models through tasks such as data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML-related tasks ...

Machine Learning Tutor

Wichita, KS · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Kansas?

The most popular types of Edge Ai Machine Learning jobs in Kansas are:

What are popular job titles related to Edge Ai Machine Learning jobs in Kansas?

For Edge Ai Machine Learning jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Edge Ai Machine Learning jobs?

Cities in Kansas with the most Edge Ai Machine Learning job openings:

Associate Artificial Intelligence Engineer

Park Place Technologies

Kansas City, KS

Full-time

Posted 2 days ago

New


Park Place Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

87th of 225 rated it services


Job description

Associate Artificial Intelligence Engineer

The Associate Artificial Intelligence Engineer is responsible for developing, implementing, and managing AI solutions and machine learning models that provide innovative, data-driven solutions to complex business challenges. This role will involve collaboration within and across multiple departments to build cutting-edge solutions that enhance decision-making capabilities and optimize business performance.

Responsibilities:

  • Understand business requirements, design, develop, and deploy scalable AI applications that aligned with business objectives.
  • Develop high-performing, reusable, and reliable code following industry standards and best practices.
  • Participate in all phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and support.
  • Build pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
  • Collaborate with data analysts, data engineers, software engineers, and business analysts to translate business requirements into technical solutions.
  • Employ Azure DevOps and Git to ensure proper version control and adherence to CI/CD best practices.
  • Troubleshoot, analyze, and resolve AI performance issues and production problems.
  • Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
  • Actively participate in team meetings, contributing ideas and insights to drive continuous improvement.
  • Demonstrate strong problem-solving skills, excellent work ethic, and proactive attitude.
  • Create necessary documentation relating to work produced.

Basic Qualifications:

  • Bachelor’s degree or higher in Computer Science, AI, Data Science, or a related field, or equivalent experience.
  • At least 1 year of hands-on experience developing and deploying AI/machine learning solutions.
  • Development experience with Python programming (Spark, pandas, etc.) and SQL.
  • Solid understanding of AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks
  • Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
  • Experience with Visual Studio, Git, and Azure DevOps.
  • Familiarity with software development fundamentals such as SOLID principles, ObjectOriented design, DRY, and Domain Driven Design.
  • Strong communication skills, both written and verbal.

Preferred Qualifications:

  • Knowledge of Vibe Coding and familiarity with cutting-edge industry trends.
  • Exposure to Agile methodologies and Test Driven Development (TDD).

Travel:

  • Less than 5%

What Park Place Technologies employees say

Pay

Hours and flexibility

Workplace

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