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Edge Ai Machine Learning Jobs in Michigan (NOW HIRING)

AI and Machine Learning Engineer

Detroit, MI

$104K - $125K/yr

... machine learning libraries and frameworks. * Work within a multidisciplinary team to understand clients business, data, and requirements and develop the appropriate AI or Client solution within our ...

Senior Machine Learning Engineer As a Senior Machine Learning Engineer within the AI Squad at ... edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal ...

Has implemented cutting edge methods (e.g. a custom layer) from recent Machine Learning publications / conference proceedings and has done so in PyTorch or Tensorflow. * Publications in AI/ML ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

They automate and optimize the end-to-end ML and Gen AI model lifecycle using expertise in ... machine learning and statistical modeling techniques such as decision trees, logistic regression ...

We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language Models (LLMs), and emerging Agentic AI capabilities to ...

Machine Learning-Gen Ai

Warren, MI · On-site +1

$107K - $128K/yr

Job#: 3029488 Machine Learning-Gen Ai/Data Statistics Location: Warren, MI Role Overview An automotive manufacturing client is seeking a Machine Learning Engineer with a foundation in data, deep ...

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

... edge AI capabilities. The candidate must be comfortable working in a fast-paced, research-driven ... Machine learning frameworks, or AI cloud services is a plus but not required. Must Have Technical ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning job?

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 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 key skills and qualifications needed to thrive in the Edge Ai Machine Learning position, and why are they important?

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 the most commonly searched types of Edge Ai Machine Learning jobs in Michigan? The most popular types of Edge Ai Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Edge Ai Machine Learning jobs? Cities in Michigan with the most Edge Ai Machine Learning job openings:
Infographic showing various Edge Ai Machine Learning job openings in Michigan as of June 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 100% In-person job distribution.
AI and Machine Learning Engineer

AI and Machine Learning Engineer

SynergisticIT

Detroit, MI

$104K - $125K/yr

Other

Posted 19 days ago


Job description

Machine Learning And Artificial Intelligence Developer

You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design to coding, testing, and maintenance.

You will also play a leading role, as part of a multidisciplinary team, to design and deliver enterprise AI and Client solutions to clients using our proprietary AI Machine.

We develop real-time prediction (regression and classification) and clustering systems. Depending on the type of applications, the AI and Client models operate on daily, hourly, down to 1 minute and millisecond streaming data.

Primary Responsibilities

As an AI team member you are expected to fulfill the following range of responsibilities, depending on the project:

  • Develop, debug and maintain Client and AI software applications written in Python ecosystem, SciKit-Learn, TensorFlow, Keras, PyTorch.
  • Design Client and Deep AI Models for different types of data (time-series, sales, business data, images, etc.) and different output types (Classification, Regression, Clustering).
  • Create stream learning models for forecasting, prediction, classification, anomaly detection, etc.
  • Investigate the behaviour of input and output data numerically.
  • Investigate and optimize models performance.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Work within a multidisciplinary team to understand clients business, data, and requirements and develop the appropriate AI or Client solution within our proprietary AI Machine.

Required Candidate Profile

Skills Required:

  • High fluency in English is a must since you will communicate and work with team members and clients in English.
  • Deep understanding of Client algorithms like regression, classification and clustering.
  • Deep understanding of model determination and evaluation.
  • Strong problem-solving mindset and ability to develop creative solutions for difficult problems often requiring detailed investigation of the code and data.
  • Interest in learning and coding within an advanced distributed micro-system architecture.

Education Requirement: Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits of working with our clients:

  • E-Verified.
  • Long Term Positions
  • On Job Technical Support.
  • Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.