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Full Time Nvidia Machine Learning Jobs in Hawaii

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Machine Learning EngineerJob Summary We are looking for a talented Machine Learning Engineer to ... Experience 3-6 Years Employment Type Full-Time Work Location Remote / Hybrid / On-site Salary Range ...

Booz Allen Hamilton

OSINT Data Scientist

Honolulu, HI · On-site

$77K - $176K/yr

Knowledge of machine learning, AI, or Natural Language Processing (NLP) * Knowledge of text mining ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

ManTech International

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

... Full time Description & Requirements Shape the future of defense with MANTECH! Join a team ... In this role you will support cutting-edge analytics, machine learning, and data engineering ...

HII

Machinist - 28364

Pearl City, HI · On-site

$58K - $68K/yr

Requisition Number: 28364 Required Travel: 0 - 10% Employment Type: Full Time/Hourly/Non-Exempt ... Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML ...

HII

Machinist - 29374

Pearl City, HI · On-site

$49K - $60K/yr

Requisition Number: 29374 Required Travel: 0 - 10% Employment Type: Full Time/Hourly/Non-Exempt ... Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML ...

Progress

Senior Principal Consultant

Honolulu, HI · Remote

... for machine learning and AI. To learn more visit www.progress.com/federal. We are seeking a ... Half to full-time on-site. * Strong project-based experience with NoSQL, Graph (RDF triple-stores ...

Progress

Senior Principal Consultant

Honolulu, HI · Remote

... for machine learning and AI. To learn more visit www.progress.com/federal. We are seeking a ... Half to full-time on-site. * Strong project-based experience with NoSQL, Graph (RDF triple-stores ...

Progress

Senior Principal Consultant

Honolulu, HI · Remote

... for machine learning and AI. To learn more visit www.progress.com/federal. We are seeking a ... Half to full-time on-site. * Strong project-based experience with NoSQL, Graph (RDF triple-stores ...

Progress

Senior Principal Consultant

Honolulu, HI · On-site +1

... for machine learning and AI. To learn more visit www.progress.com/federal. We are seeking a ... Half to full-time on-site. * Strong project-based experience with NoSQL, Graph (RDF triple-stores ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Honolulu, HI · On-site

$99K - $225K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsNvidia Machine Learning JobsFull Time Nvidia Machine Learning JobsFull Time Nvidia Machine Learning Jobs in Hawaii

Full Time Nvidia Machine Learning information

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

AspectFull Time Nvidia Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with Nvidia toolsBachelor's or higher in CS, Statistics, or related fields; data analysis skills
Work EnvironmentTech companies, AI research labs, Nvidia-specific projectsVarious industries including tech, finance, healthcare
Employer & Industry UsagePrimarily Nvidia, tech giants, AI startupsBroad industry use, including tech, finance, consulting

Full Time Nvidia Machine Learning roles focus on developing AI models using Nvidia's hardware and software, often requiring specialized knowledge of Nvidia tools. Data Scientists analyze data to extract insights across industries. While both roles involve data and AI, Nvidia Machine Learning positions are more hardware and software-specific, whereas Data Scientists have broader data analysis responsibilities.

What are the most commonly searched types of Nvidia Machine Learning jobs in Hawaii? The most popular types of Nvidia Machine Learning jobs in Hawaii are:
Full Time Nvidia Machine Learning jobs near you
Infographic showing various Full Time Nvidia Machine Learning job openings in Hawaii as of July 2026, with employment types broken down into 70% Full Time, 27% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Machine Learning Engineer

Vultus Inc

Honolulu, HI • On-site, Remote

$110K - $145K/yr

Full-time

Posted 15 days ago

Job description

Machine Learning EngineerJob Summary

We are looking for a talented Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve complex business problems. The ideal candidate should have experience in data preprocessing, model development, feature engineering, and deploying ML solutions in production environments. You will work closely with data scientists, software engineers, and product teams to build intelligent applications.

Key Responsibilities
  • Design, build, and deploy machine learning models for predictive analytics and automation.
  • Collect, clean, and preprocess structured and unstructured datasets.
  • Perform feature engineering and model optimization to improve performance.
  • Train, validate, and evaluate machine learning models using industry best practices.
  • Deploy ML models using cloud platforms and containerization technologies.
  • Monitor model performance and retrain models as needed.
  • Collaborate with cross-functional teams to understand business requirements.
  • Develop APIs and services for model inference.
  • Document model architecture, experiments, and deployment processes.
  • Stay updated with the latest advancements in AI and machine learning technologies.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3–6 years of experience in Machine Learning or Artificial Intelligence.
  • Strong programming skills in Python.
  • Experience with supervised and unsupervised learning algorithms.
  • Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of statistics, probability, and linear algebra.
  • Experience with SQL and NoSQL databases.
  • Familiarity with REST APIs and microservices architecture.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Understanding of CI/CD pipelines for ML deployment.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Feature Engineering
  • Model Deployment
  • Data Preprocessing
  • SQL
  • Docker
  • Kubernetes
  • Git
Secondary Skills
  • NLP (Natural Language Processing)
  • Computer Vision
  • MLOps
  • Apache Spark
  • MLflow
  • Airflow
  • Kafka
  • Azure ML
  • AWS SageMaker
  • Google Vertex AI
  • FastAPI
  • Flask
Preferred Qualifications
  • Experience with large-scale ML model deployment.
  • Knowledge of Generative AI and Large Language Models (LLMs).
  • Experience with vector databases such as Pinecone, Milvus, or FAISS.
  • Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG).
  • Experience with Agile/Scrum methodologies.
Experience

3–6 Years

Employment Type

Full-Time

Work Location

Remote / Hybrid / On-site

Salary Range

$110,000 – $145,000 per year (Based on experience and location)