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Freelance Nvidia Machine Learning Jobs in Minnesota

Deloitte

Oracle Gen AI Manager

Minneapolis, MN

... 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 ...

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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 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 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 Minnesota?

The most popular types of Nvidia Machine Learning jobs in Minnesota are:

What are popular job titles related to Freelance Nvidia Machine Learning jobs in Minnesota?

For Freelance Nvidia Machine Learning jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Freelance Nvidia Machine Learning jobs in Minnesota look for?

The top searched job categories for Freelance Nvidia Machine Learning jobs in Minnesota are:

What cities in Minnesota are hiring for Freelance Nvidia Machine Learning jobs?

Cities in Minnesota 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 Minnesota 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.

Solutions Architect, Financial Services Banking

NVIDIA Gruppe

Virginia, MN • On-site

$140 - $190/hr

Other

Posted 2 days ago

New

Job description

The Financial Services Solutions Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. Solutions Architects work with top minds in Financial Services - Banking, Consumer Finance - to accelerate High-Performance Computing and AI workloads across various use cases. We're seeking an inquisitive, hard-working, and creative individual passionate about helping tackle challenges. Join us in this endeavor!

What You'll Be Doing:

  • Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.

  • Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures.

  • Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.

  • Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.

  • Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

What We Need To See:

  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)

  • 5+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++

  • Experience with ML/DL algorithms with frameworks such as TensorFlow, Jax, PyTorch, Spark, Dask

  • Ability to communicate ideas and share code clearly through blog posts, GitHub

  • Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)

  • Effective verbal/written communication and technical presentation skills

  • Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team

Ways To Stand Out From The Crowd:

  • Experience building and deploying Banking and Payments modeling techniques, such as: Time-series, Transformers, GraphNNs, XGBoost, Recommender Systems, etc

  • Familiarity with NLP Generative and Agentic AI models, frameworks, and applications

  • Skilled in deploying ML/DL models at scale on on-prem or public cloud computing clusters in production

  • Development experience with NVIDIA software libraries and GPUs

  • Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center deployments etc. Experience working with enterprise developers building AI, HPC, or data analytics applications

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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