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Freelance Nvidia Machine Learning Jobs in Michigan

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.

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.

Ford Motor Company

Software Engineer

Redford, MI · On-site

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 ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site

$125 - $150/hr

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

Finance Analytics & AI Senior Consultant

Detroit, MI · On-site

$115K/yr

Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning ... NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ...

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 ...

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Freelance Nvidia Machine Learning information

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 key skills and qualifications needed to thrive as a freelance Nvidia machine learning specialist?

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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI Researcher

Detroit, MI

Tata Consultancy Services
IT Services • 10K+ employees
Learn more about Tata Consultancy Servicesexternal

Full-time

Re-posted 22 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

About the Role

As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you’ll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This role is designed for bright, curious, and self-driven graduates who aspire to build the next generation of intelligent robotic systems - capable of seeing, reasoning, and acting autonomously in the physical world.

You will collaborate with interdisciplinary teams of researchers, data scientists, and roboticists to explore, prototype, and implement computer vision and machine learning algorithms that power autonomous robots, humanoids, and intelligent machines. From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you’ll be pushing the boundaries of what machines can perceive and do.

If you are passionate about AI, robotics, and human–machine collaboration and want to shape how intelligent systems interact with the world - this is your launchpad.

Key Responsibilities

AI Research & Experimentation

  • Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous systems.
  • Work on topics such as object detection, pose estimation, scene understanding, 3D reconstruction, and sensor fusion.
  • Contribute to building perception pipelines for autonomous mobile robots (AMRs), humanoids, and collaborative robotic systems.

Development & Implementation

  • Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
  • Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.
  • Implement algorithms for navigation, path planning, and control integration.

Collaboration & Innovation

  • Partner with cross-functional teams in AI, robotics, and systems engineering to co-create innovative prototypes.
  • Participate in TCS research initiatives, innovation challenges, and client-facing proof-of-concept demonstrations.
  • Contribute to whitepapers, patents, and internal publications advancing TCS’s thought leadership in AI and robotics.

Continuous Learning & Experimentation

  • Stay current with advances in AI, robotics, and multimodal learning from academia and industry.
  • Experiment with new architectures (e.g., Vision Transformers, Diffusion Models, Agentic AI frameworks).
  • Test and benchmark algorithms on physical robot platforms and simulation environments (e.g., Gazebo, Isaac Sim).

Required Qualifications & Skills

Educational Background:

  • Master’s or Ph. D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a recognized institution.
  • Strong academic foundation in machine learning, image processing, linear algebra, and probability.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Tata Consultancy Services logo

About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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