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Tensorflow Jobs in Hawaii (NOW HIRING)

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

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 ...

MANTECH

Data Scientist with Security Clearance

Aiea, HI · On-site

Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn * Skilled in data querying using SQL/NoSQL and working within cloud environments (AWS, Azure, or GCP) * High ...

Raft

Software Engineer (AI Focus)

Honolulu, HI · On-site

... TensorFlow, PyTorch, Hugging Face, OpenAI APIs) • Knowledge of prompt engineering and LLM integration patterns • Experience with Python for AI/ML workflows and data processing • Experience with ...

Amentum

Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) * Experience applying advanced analytics, machine learning, and statistical modeling ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

ManTech

Data Scientist

Aiea, HI

$141K - $236K/yr

Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn * Skilled in data querying using SQL/NoSQL and working within cloud environments (AWS, Azure, or GCP) * High ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

Amentum

Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be beneficial depending on further responsibilities. * Familiarity with version control and DevOp tools ...

Instacart

Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools * Have strong analytical skills and ...

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All JobsTensorflow JobsTensorflow Jobs in Hawaii

Tensorflow information

See Hawaii salary details

$39K

$127.5K

$204.2K

How much do tensorflow jobs pay per year?

As of Jul 29, 2026, the average yearly pay for tensorflow in Hawaii is $127,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $141,300.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are popular job titles related to Tensorflow jobs in Hawaii? For Tensorflow jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Tensorflow jobs in Hawaii look for? The top searched job categories for Tensorflow jobs in Hawaii are:
Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Hawaii as of July 2026, with employment types broken down into 1% Internship, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $127,520 per year, or $61.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Vultus Inc

Honolulu, HI • On-site, Remote

$110K - $145K/yr

Full-time

Posted 8 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)