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Freelance Nvidia Machine Learning Jobs in Dallas, TX

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

Cloud Support Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

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

Cloud Support Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

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

... machines, data streams, and enterprise systems. Key Responsibilities Agentic Architecture ... AWS, GCP, or NVIDIA AI stack experience * Knowledge of model governance and explainability

... machines, data streams, and enterprise systems. Key Responsibilities Agentic Architecture ... AWS, GCP, or NVIDIA AI stack experience * Knowledge of model governance and explainability

AWS, Google Cloud Platform, or NVIDIA AI stack experience * Knowledge of model governance and ... Strong learning mindset and adaptability About NTT DATA NTT DATA is a $30 billion business and ...

... machines, data streams, and enterprise systems. Key Responsibilities Agentic Architecture ... AWS, GCP, or NVIDIA AI stack experience * Knowledge of model governance and explainability

You will combine GenAI, ML, and systems engineering to create AI agents that interact with machines ... Strong learning mindset and adaptability Experience building production AI systems, not just ...

Showing results 21-37

Freelance Nvidia Machine Learning information

See Dallas, TX salary details

$14

$47

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How much do freelance nvidia machine learning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for freelance nvidia machine learning in Dallas, TX is $47.19, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $61.11 per hour, depending on experience, location, and employer.

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 job categories do people searching Freelance Nvidia Machine Learning jobs in Dallas, TX look for?

The top searched job categories for Freelance Nvidia Machine Learning jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Freelance Nvidia Machine Learning jobs?

Cities near Dallas, TX with the most Freelance Nvidia Machine Learning job openings:

Senior Cloud Support Engineer

Crusoe

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role:

Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position.

What You’ll Be Working On:

  • Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+).

  • On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues.

  • Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools.

  • Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing.

  • Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery.

  • Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures.

  • Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs).

What You’ll Bring to the Team:

  • Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience.

  • Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments.

  • Version Control: Proficiency with Git for code management and collaboration.

  • Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments.

  • Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana).

  • Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP).

  • Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations.

  • HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN).

Bonus Points:

  • Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator.

  • Cloud Expertise: Deep understanding of specific cloud platforms and services.

  • Automation Skills: Experience with automation tools and scripting languages.

  • Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions.

  • Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues.

  • Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology.

Benefits:

  • Competitive compensation

  • Restricted Stock Units

  • Paid time off & paid holidays

  • Comprehensive health, dental & vision insurance

  • Employer contributions to HSA account

  • Paid parental leave

  • Paid life insurance, short-term and long-term disability

  • Professional development & tuition reimbursement

  • Mental health & wellness support

  • Commuter benefits (parking & transit)

  • Cell phone stipend

  • 401(k) Retirement plan with company match up to 4% of salary

  • Volunteer time off

Compensation:

Compensation will be paid between $130,000 and $155,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.