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Freelance Nvidia Machine Learning Jobs in Colorado

$133.80K - $166.70K/yr

This is a long term freelance/contract position. We hope to develop a long relationship, delivering ... Blockchain, Machine Learning, Gaming experience Employment Type: CONTRACTOR

Senior AI Engineer - SFL Scientific

Denver, CO · On-site

$107.50K - $147.70K/yr

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

New

No prior AI or machine learning experience required Requirements * Bachelor's degree in Business ... Freelance autonomy with the substance of meaningful, high-impact work * Gain rare, hands-on ...

Lead development in advancing our robotics capabilities to include AI and machine learning for ... Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics ...

Lead development in advancing our robotics capabilities to include AI and machine learning for ... Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics ...

CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI ...

Lead development in advancing our robotics capabilities to include AI and machine learning for ... Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics ...

Director_Strategy + Insights

Boulder, CO · On-site

$135K - $175K/yr

With that in mind, we're looking for someone to relentlessly feed our strategic machine with ... Freelance-to-hire arrangements considered. WIP Perks and Benefits • Comprehensive medical, dental ...

With that in mind, we're looking for someone to relentlessly feed our strategic machine with ... Freelance-to-hire arrangements considered. WIP Perks and Benefits Comprehensive medical, dental ...

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 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 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 Colorado? The most popular types of Nvidia Machine Learning jobs in Colorado are:
What are popular job titles related to Freelance Nvidia Machine Learning jobs in Colorado? For Freelance Nvidia Machine Learning jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Freelance Nvidia Machine Learning jobs? Cities in Colorado with the most Freelance Nvidia Machine Learning job openings:

Freelance Node, React, Apollo/GraphQL Engineer

Arcanium.io

On-site

$133.80K - $166.70K/yr

Contractor

Posted 21 days ago


Job description


Who we're looking for


We are looking for someone who can build anything in JS. You are used to wearing multiple hats, dealing with changing requirements, etc. You are comfortable working on projects of various sizes. You are ruthlessly focused on hitting deadlines and delivering working, fully deployed products.


You will work on projects ranging from greenfield 1 person MVPs to teams of 4-5 engineers following best practices. 


This is a long term freelance/contract position. We hope to develop a long relationship, delivering you steady work. There is the possibility of W2 in the future.



We'd like to see:

  • 2-6 years full time dev experience

  • React.JS or VueJS expertise

  • Node, express, apollo/graphQL

  • Modular code architecture experience

  • Containerized deployment experience - Docker, Kubernetes, etc. 

  • NoSQL

  • SQL

  • Redis/Memcached

  • Websockets

  • Bonus: Interprocess communication (gRPC, zeroMQ/RabbitMQ, Google Pubsub, Amazon SQS)

  • Bonus: React Native experience a bonus

  • Bonus: Ruby on Rails experience a bonus

  • Bonus: Blockchain, Machine Learning, Gaming experience



Employment Type: CONTRACTOR