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Remote Nvidia Machine Learning Jobs in Powder Springs, GA

Data Scientist I

Atlanta, GA ยท On-site +1

Define and develop analytical, statistical and machine learning algorithms for advanced analysis ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

Full Stack Engineer

Atlanta, GA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Staff Software Engineer

South Fulton, GA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Backend Developer

Atlanta, GA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Senior Software Engineer

Atlanta, GA ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Showing results 1-20

Remote Nvidia Machine Learning information

See Powder Springs, GA salary details

$24.1K

$40.3K

$83.3K

How much do remote nvidia machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for remote nvidia machine learning in Powder Springs, GA is $40,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,800.00 and $43,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Machine Learning vs Remote Data Scientist?

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

What cities near Powder Springs, GA are hiring for Remote Nvidia Machine Learning jobs? Cities near Powder Springs, GA with the most Remote Nvidia Machine Learning job openings:

ML Ops Technical Architect (AI/ML) - Remote

K&K Global Talent Solutions

Atlanta, GA โ€ข On-site, Remote

$63.75 - $77/hr

Other

Posted 2 days ago


Job description

Must Have Technical/Functional Skills
Technical Skills -ย 
  • Programming Languages: Python, Javaย 
  • Agentic AI : Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDKย 
  • Tool Integration: Gemini Tools, Custom MCP tools
  • Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML.ย 
  • Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP).ย 
  • Cloud Platforms: Google Cloud Platform (Google Cloud Platform), Vertex AI and Kubeflow
  • Data Engineering: Proficiency in data preprocessing and feature engineering.ย 
  • Version Control: Experience with GitHub for version control.ย 
  • Data Science Practices: Skills in building models, testing/validation, and deployment.ย 
  • Databases: DB2, Oracle, BigQuery, BigData, Cassandra, PostGRES
  • Collaboration: Experience working in an Agile framework.ย 
  • RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.ย 
  • Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT