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Tensorflow Js Jobs (NOW HIRING)

AWS Cloud Engineer

Cincinnati, OH · On-site

$53.50 - $71.50/hr

Transformers, PyTorch, TensorFlow, and LangChain, LLM, Ph.D. in AI/ML/Data Science" REQUIRED ... js. Demonstrated contributions to open-source AI/ML/Cloud projects, with either merged pull ...

Java + Angular + AI Engineer

Austin, TX · On-site

$51.25 - $70.25/hr

Strong Java development experience (Java 8+, Spring Boot, REST APIs) and Angular JS. * Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. * Hands-on experience or ...

... js). Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Proficiency in developing and deploying AI/ML models in cloud ...

Apply Early

... js). Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Proficiency in developing and deploying AI/ML models in cloud ...

Apply Early

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Create engaging and responsive user interfaces with TypeScript (React.js, Next.js, or Angular ... Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch ...

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Create engaging and responsive user interfaces with TypeScript (React.js, Next.js, or Angular ... Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch ...

... Torch, Tensorflow, scikit-learn, xgboost), visualization (e.g., matplotlib, ggplot, vega, d3.js) or data processing (e.g., Spark, Stanford CoreNLP, gensim) Relational database and SQL skills ...

... TensorFlow • Experience deploying ML or LLM systems into production environments • Strong frontend experience with React, Next.js, or Vue • Experience building APIs and backend services • ...

Agentic AI FDE

Irving, TX · On-site

$14.50 - $17.25/hr

... JS/NodeJS or .NET/C# is a plus) * Architecture and systemdesign experience , with a proven track ... TensorFlow, or PyTorch) * Experience designing and building scalable ML/AI systems using APIs ...

... Torch, Tensorflow, scikit-learn, xgboost), visualization (e.g., matplotlib, ggplot, vega, d3.js) or data processing (e.g., Spark, Stanford CoreNLP, gensim) Relational database and SQL skills ...

... js/Java/Serverless), * cloud platforms (AWS/GCP/Azure), * front-end frameworks (e.g., React/React ... Learn, TensorFlow, and PyTorch * Broaden ML Domain Knowledge: Practical experience or solid ...

Agentic AI FDE| USA | FTE Only

Berkeley Heights, NJ · On-site

$119K - $143K/yr

... JS/NodeJS or .NET/C# is a plus) * Architecture and systemdesign experience , with a proven track ... TensorFlow, or PyTorch) * Experience designing and building scalable ML/AI systems using APIs ...

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Tensorflow JS information

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How much do tensorflow js jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for tensorflow js in the United States is $26.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $21.15 per hour, depending on experience, location, and employer.

What are some common projects or tasks a TensorFlow.js developer typically works on?

As a TensorFlow.js developer, you may work on projects such as building browser-based machine learning models, integrating real-time data predictions into web applications, or converting existing Python-trained models to run client-side. Day-to-day tasks often include designing user interfaces for model interaction, optimizing model performance within browser constraints, and collaborating closely with front-end and back-end teams to deliver seamless user experiences. This role is highly collaborative, and successful developers frequently communicate with product managers or data scientists to align technical implementation with business objectives. There is also significant opportunity to stay updated on the latest web ML trends and contribute to cross-functional innovation within your team.

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

To thrive in a TensorFlow.js role, you need strong JavaScript programming skills, an understanding of machine learning concepts, and experience developing web applications. Familiarity with TensorFlow.js libraries, browser-based coding environments, and version control systems like Git is highly beneficial. Excellent problem-solving abilities, collaborative teamwork, and effective communication skills help you succeed in fast-paced, multidisciplinary settings. These capabilities are essential for building interactive machine learning solutions that integrate seamlessly with modern web apps and meet real-world business needs.

What is a TensorFlow.js job?

A TensorFlow.js job typically involves developing, deploying, and optimizing machine learning models that run directly in the browser or on Node.js. Professionals in this role work with JavaScript, TensorFlow.js, and related web technologies to build AI-powered applications. Responsibilities may include training models, converting existing TensorFlow models to TensorFlow.js, and improving model performance for web-based environments.

More about Tensorflow JS jobs
What are the most commonly searched types of Tensorflow Js jobs? The most popular types of Tensorflow Js jobs are:
What states have the most Tensorflow Js jobs? States with the most job openings for Tensorflow Js jobs include:
Infographic showing various Tensorflow Js job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 2% Part Time, and 8% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $55,080 per year, or $26.5 per hour.
Java full stack with react and AIML exp

Java full stack with react and AIML exp

Syntricate Technologies

Charlotte, NC • On-site

$51.25 - $66.25/hr

Other

Posted 10 days ago


Job description

Job Title

Required Skills:

  • Core Development:
    • Proficient in Java, Spring Boot, REST APIs, Hibernate/JPA.
    • Strong front-end development with Angular, React, or Vue.js.
    • Hands-on with HTML5, CSS3, JavaScript, TypeScript.
  • AI/ML Exposure:
    • Basic to intermediate understanding of ML concepts: classification, regression, clustering, NLP, etc.
    • Ability to work with Python ML libraries (e.g., scikit-learn, TensorFlow, Keras) or Java-based ML tools like Deeplearning4j.
    • Understanding of model APIs, feature engineering, and data pipelines.
  • Database & Tools:
    • SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
    • Git, Maven/Gradle, Jenkins, Docker, Kubernetes.

Key Responsibilities:

  • Full Stack Development:
    • Develop and maintain web applications using Java (Spring Boot) for backend /React for frontend.
    • Build RESTful APIs, microservices, and secure application layers.
    • Ensure performance, security, and scalability of applications.
  • AI/ML Integration:
    • Collaborate with data scientists to integrate ML models into production-grade systems.
    • Use APIs or pipelines to deploy ML models in Java-based environments.
    • Handle data processing, transformation, and real-time inference tasks.
  • DevOps & Deployment:
    • Containerize applications using Docker and manage deployments via Kubernetes or cloud platforms (AWS, GCP, or Azure).
    • Implement CI/CD pipelines and use monitoring tools for performance and reliability.