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Freelance Full Stack Machine Learning Engineer Jobs in Michigan

Develop within the full machine learning lifecycle; from problem definition to data pipeline design ... stack. * Mentor and guide junior engineers and contribute to the hiring process and technical ...

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector ...

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Freelance Full Stack Machine Learning Engineer information

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Michigan? The most popular types of Full Stack Machine Learning Engineer jobs in Michigan are:
What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Freelance Full Stack Machine Learning Engineer jobs? Cities in Michigan with the most Freelance Full Stack Machine Learning Engineer job openings:
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Canopy

Detroit, MI

$95K - $131K/yr

Other

Posted 21 days ago


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Job description

Senior Machine Learning Engineer

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 vehicle and content theft. In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.

Responsibilities:
  • Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications.
  • Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring.
  • Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies.
  • Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery.
  • Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies.
  • Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack.
  • Mentor and guide junior engineers and contribute to the hiring process and technical reviews.

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