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Freelance Nvidia Machine Learning Jobs in Georgia

Walaris

Perception Software Engineer

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They build/integrate real-time machine learning and image processing systems with advanced hardware ... Familiarity with embedded Linux platforms, particularly NVIDIA Jetson devices * Demonstrated ...

h2o.ai

Senior Sales Engineer, Healthcare

Atlanta, GA · On-site

$120 - $160/hr

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS ... In this role, you'll combine deep technical expertise in Machine Learning and Generative AI with ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine performance). * Contribute to feature engineering and ensure data readiness for modeling ... Experience optimizing deep learning models for NVIDIA Jetson-based edge systems. * Experience ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience optimizing deep learning models for NVIDIA Jetson-based edge systems. * Experience ... machine performance). * Contribute to feature engineering and ensure data readiness for modeling

Honeywell

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience optimizing deep learning models for NVIDIA Jetson-based edge systems. * Experience ... machine performance). * Contribute to feature engineering and ensure data readiness for modeling

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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 Georgia? The most popular types of Nvidia Machine Learning jobs in Georgia are:
What are popular job titles related to Freelance Nvidia Machine Learning jobs in Georgia? For Freelance Nvidia Machine Learning jobs in Georgia, the most frequently searched job titles are:
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Freelance Nvidia Machine Learning jobs near you

Perception Software Engineer

Walaris

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Walaris designs and develops AI-driven, software-defined, and hardware-enabled autonomous systems for defense and security applications. Our software platform uses artificial intelligence, sensor fusion, and edge computing to provide real-time situational awareness for air, land, and sea domains, enabling rapid decisions at machine speed. Our cutting-edge technology is utilized by customers across the defense, national security, government, marine, and critical infrastructure protection markets worldwide.
Software engineers at Walaris are at the core of our company, tackling complex and mission-critical technical challenges with the latest technologies. They build/integrate real-time machine learning and image processing systems with advanced hardware and are constantly designing innovative software solutions. Working in cross-functional, international teams, our engineers consistently strive to exceed customer expectations.
For our office in Atlanta, we are looking for a Perception/Computer Vision Engineer starting as soon as possible.
Your Mission
As a Perception Engineer with a focus on embedded perception systems, you will play a critical role in delivering a real-time detect, classify, and track software platform currently protecting military bases, borders, government facilities, critical infrastructure and major public venues across the globe. You will work directly with camera data pipelines and embedded compute platforms to build robust, efficient, and scalable perception functionality.
You will contribute as a highly skilled individual contributor, and your work will be essential to ensuring that our CUAS systems operate reliably in real-world, resource-constrained environments.
Responsibilities
  • Full Lifecycle Ownership. Work through software design and architecture, all the way through deployment and live field trials. You will help maintain a constant feedback loop from implementation to test and evaluation to improve our product performance.
  • Counter-UAS Perception Adaptation. Tailor our perception stack to overcome environmental noise, clutter, rain, and low-contrast target profiles.
  • Hardware Integration. Integrate computer vision pipelines onto edge hardware for real-time inference and offboard control.
  • Algorithm Development. Code and optimize advanced algorithms for object detection, classification, tracking, target guidance, and target re-identification.
  • Multi-Sensor Correlation: Align camera-based perception outputs with ADSB, radar, and RF inputs.

Requirements
  • Bachelor's or Master's degree in Robotics, Computer Science, Computer Engineering, or a related field
  • Minimum of 4+ years of experience working as a Computer Vision generalist or perception engineer
  • Advanced proficiency in Python, as well as proficiency in C++ or Rust
  • Familiarity with embedded Linux platforms, particularly NVIDIA Jetson devices
  • Demonstrated experience in object tracking, target detection or image processing
  • Capable of working in a fast-paced, high-trust environment under a responsible engineer framework
  • Deep knowledge of camera systems working principles

Export Control Requirements
To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Benefits
Walaris is a rapidly growing company building complex software systems for defense, national security, government, and critical infrastructure customers worldwide. We offer
  • Competitive starting salary
  • Unlimited PTO
  • Health benefits usable for medical, dental, and vision insurance
  • 401K
  • Paid parental leave

Apply