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Freelance Nvidia Machine Learning Jobs in Michigan

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

... computer vision and machine learning algorithms that power autonomous robots, humanoids, and ... Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.

Tata Consultancy Services

AI Researcher

Detroit, MI

... computer vision and machine learning algorithms that power autonomous robots, humanoids, and ... Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.

Ford Motor Company

Software Engineer

Redford, MI

Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks. * Full-Stack API Development: Build ...

Deloitte

Senior AI Engineer - SFL Scientific

Detroit, MI · On-site

$103K - $141K/yr

... machine learning applications. Responsibilities : • Work with clients to design, develop, and ... Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. • Live within ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

This edge software includes machine learning, optimization algorithms, and components that host ... NVIDIA ML software stack on the Jetson Platform * Experience with system integration testing ...

Deloitte

Oracle Gen AI Manager

Detroit, MI

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP ...

Utilidata

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... optimization, applied machine learning, or signal processing * Demonstrated experience in ...

Eaton

Lead Engineer - Digitalization & AI

Southfield, MI · On-site

$105K - $154K/yr

... with NVIDIA Omniverse SimReady, and similar initiatives. • Build Physics AI co-sim engines ... physics-informed machine learning, and digital twins. • Experience in multiple CAE tools ...

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Freelance Nvidia Machine Learning information

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

To thrive as a Freelance Nvidia Machine Learning Engineer, you need a strong background in machine learning principles, deep learning frameworks (such as TensorFlow or PyTorch), and proficiency in Python programming, often supported by a relevant degree or certifications. Familiarity with Nvidia hardware (GPUs), CUDA programming, and tools like Nvidia Deep Learning SDKs is essential for optimizing and deploying models efficiently. Exceptional problem-solving, self-management, and client communication skills help you deliver effective solutions and maintain successful freelance relationships. Mastery of these skills ensures you can build high-performance models, meet client expectations, and stay competitive in the rapidly evolving ML landscape.

What is the difference between Freelance Nvidia Machine Learning vs Freelance Data Scientist?

AspectFreelance Nvidia Machine LearningFreelance Data Scientist
Required CredentialsKnowledge of Nvidia GPU architectures, CUDA programming, machine learning frameworksStatistics, programming, data analysis skills, often with similar certifications
Work EnvironmentProject-based, remote, often with tech companies or startupsProject-based or consulting, remote or on-site, across various industries
Industry UsageAI, deep learning, GPU-accelerated applicationsData analysis, predictive modeling, business insights

Freelance Nvidia Machine Learning specialists focus on GPU-accelerated AI projects using Nvidia technologies, while Freelance Data Scientists handle broader data analysis and modeling tasks. Both roles are in high demand for tech-driven projects but differ in technical focus and tools used.

What are some common challenges freelance Nvidia Machine Learning specialists face when working with clients remotely?

Freelance Nvidia Machine Learning specialists often encounter challenges such as ensuring compatibility between client hardware and Nvidia GPU requirements, effectively communicating technical needs and project progress to non-expert clients, and managing project timelines without in-person oversight. Additionally, freelancers may need to set up secure access to client data or cloud environments, which can require extra coordination. Proactively clarifying expectations, maintaining clear documentation, and staying current with Nvidia's latest tools (like CUDA, cuDNN, or TensorRT) are essential strategies for overcoming these challenges.

What does a Freelance Nvidia Machine Learning specialist do?

A Freelance Nvidia Machine Learning specialist is an independent contractor who uses Nvidia hardware and software platforms, such as CUDA and TensorRT, to develop, optimize, and deploy machine learning models. These professionals often work with clients to accelerate AI workloads, implement deep learning solutions, and leverage GPU computing for data processing tasks. Their projects may include computer vision, natural language processing, or other AI applications that benefit from Nvidia’s technology stack. Freelancers in this field need strong programming skills, familiarity with Nvidia SDKs, and experience optimizing models for high-performance computing environments.
What are the most commonly searched types of Nvidia Machine Learning jobs in Michigan? The most popular types of Nvidia Machine Learning jobs in Michigan are:
What are popular job titles related to Freelance Nvidia Machine Learning jobs in Michigan? For Freelance Nvidia Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Nvidia Machine Learning jobs in Michigan look for? The top searched job categories for Freelance Nvidia Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Freelance Nvidia Machine Learning jobs? Cities in Michigan with the most Freelance Nvidia Machine Learning job openings:
Freelance Nvidia Machine Learning jobs near you
Infographic showing various Freelance Nvidia Machine Learning job openings in Michigan as of June 2026, with employment types broken down into 20% Full Time, 62% Part Time, 2% Temporary, 15% Nights, and 1% Summer. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution.

AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools (Freelance

Prolific Academic Ltd

Detroit, MI • On-site, Remote

$200/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management ToolsAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are inviting experienced professionals in AI / Machine Learning Engineer leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We are particularly interested in individuals who are involved in evaluating, selecting, purchasing, or making decisions about workflow management tools within their organizations.

If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for our research tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to share your expertise with researchers and organisations who need real-world People Ops insight.

Researchers looking for your skills tend to pay up to $200 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

This opportunity is open to professionals who:

  • Hold a Manager-level position or above
  • Work in AI / Machine Learning Engineer, Software Engineering, Software Development, Product Management, or UX/Product Design
  • Currently use, or are actively considering using, workflow management tools
  • Participate in decision-making regarding development, product, or workflow management tools within an organization

Please note: This is a "bench" model. By verifying your credentials, you gain eligibility for research opportunities as they become available. Access is based on project demand and professional profile matching.

What you'll bring
  • Manager-level experience or higher in software engineering, product management, or product design functions
  • Experience evaluating, selecting, implementing, or managing workflow management tools
  • Familiarity with software development, product development, or design workflows
  • Involvement in purchasing decisions, tool selection, budgeting, or strategic recommendations related to development and collaboration tools
What you'll be doing in the role
  • Complete a paid screener to help us assess your background and suitability for specific research tasks
  • Participate in AI-moderated interviews/written tasks
  • Complete qualitative surveys and feedback activities
  • Share insights about workflow management practices, tool selection, and organizational needs
Key Technologies
  • Direct experience with tools such as Jira, Linear, Azure DevOps, GitHub Projects, GitLab Issues/Boards, Shortcut, Asana, ClickUp, or Monday.com is required.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

When you're ready to start, simply click on the link below:

Start the registration here!

Or copy and paste this link: https://app.prolific.com/register/participant/waitlist/?campaign_code=C4X667WC

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.