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Tensorflow Js Jobs (NOW HIRING)

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

Experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms : Working knowledge of Google Cloud and Azure. * Front-End Frameworks/Libraries : Experience with React, Angular, Vue.js, and ...

Ova Technologies

Job Title:Python Developer

Encino, CA · On-site

$52.75 - $72.50/hr

Exposure to data analysis, machine learning, or data science libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch). * Understanding of front-end frameworks (React, Angular, Vue.js) is a plus. What We ...

Mercator

Full-Stack Engineer

San Francisco, CA · On-site

$140K - $200K/yr

... Tensorflow, & Google X). We recently raised $5M in seed funding from leading Silicon Valley ... js and NestJS. A critical part of the job is listening carefully to what customers ask for ...

KORE1 Technologies

Sr Full Stack Engineer

Irvine, CA · On-site

Expertise in JavaScript frameworks like Angular.js, Vue.js or React.js for building single-page ... Knowledge in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face ...

KORE1 Technologies

Sr Full Stack Engineer

Irvine, CA · On-site

Expertise in JavaScript frameworks like Angular.js, Vue.js or React.js for building single-page ... Knowledge in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face ...

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JS Consulting

Data Scientist

Washington, DC · On-site

Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine Learning tools such as TensorFlow * Experience with image processing models such as Coco, CLIP, ResNet ...

Alchemy Worx

Full-Stack + AI Engineer

New York, NY · On-site

$110/hr

Strong Python and modern web stack (React/Next.js + APIs + DB + deployments) * Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model evaluation) * Experience ...

Alchemy Worx

Full-Stack + AI Engineer

New York, NY · On-site

$110/hr

Strong Python and modern web stack (React/Next.js + APIs + DB + deployments) * Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model evaluation) * Experience ...

Alchemy Worx

Full-Stack + AI Engineer

New York, NY · On-site

$110/hr

Strong Python and modern web stack (React/Next.js + APIs + DB + deployments) * Data processing and Machine learning fundamentals (pandas, Sklearn, pytorch/tensorflow, model evaluation) * Experience ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain ... Experience with front-end frameworks (React, Angular, Vue.js) and modern web development UiPath RPA ...

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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:
What job categories do people searching Tensorflow Js jobs look for? The top searched job categories for Tensorflow Js jobs are:
Tensorflow JS jobs near you
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.
AI/ML Engineer

AI/ML Engineer

Redolent, Inc.

Phoenix, AZ • On-site

Contractor

Posted 16 days ago

Job description

Job Title: AI/ML Engineer
Location: Phoenix, AZ
Experience Level: 8+ years
Rate:
Job Description:
We are seeking a highly skilled AI/ML Engineer to join our team. The ideal candidate will have extensive experience in designing and developing machine learning algorithms and deep learning applications, particularly for observability data (AIOps). This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large language models (LLMs) for effective summarization is essential.
Key Responsibilities:
  • Design and develop machine learning algorithms for time series forecasting, anomaly detection, event classification, and correlation.
  • Develop and implement deep learning applications and systems for observability data (AIOps).
  • Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.
  • Implement MCP client and server within the Grafana ecosystem or similar platforms.
  • Collaborate with cross-functional teams to ensure seamless integration and deployment of ML models.
  • Lead and mentor a team of engineers, both onshore and offshore.

Required Skills and Experience:
  • Programming Languages: Proficiency in Python and R.
  • ML Frameworks: Experience with TensorFlow, PyTorch, and scikit-learn.
  • Cloud Platforms: Working knowledge of Google Cloud and Azure.
  • Front-End Frameworks/Libraries: Experience with React, Angular, Vue.js, and jQuery.
  • Design Tools: Proficiency in Figma, Adobe XD, or Sketch.
  • Databases: Knowledge of MySQL, MongoDB, and PostgreSQL.
  • Server-Side Languages: Familiarity with Python, Node.js, and Java.
  • Version Control: Experience with Git and other version control systems.
  • Testing: Knowledge of testing frameworks and methodologies.
  • Agile Development: Experience with agile development methodologies.
  • Communication and Collaboration: Strong communication and collaboration skills.

Preferred Qualifications:
  • Experience in AIOps and handling observability data.
  • Proven track record of leading and mentoring engineering teams.
  • Strong problem-solving skills and the ability to work in a fast-paced environment
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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