1

Tensorflow Jobs (NOW HIRING)

ML frameworks (TensorFlow, PyTorch, scikit-learn). Feature store integration, model serving via low-latency APIs. • Key Skills: Model development, feature engineering, model serving infrastructure ...

... TensorFlow, scikit-learn) and data tooling. • Strong communication skills to collaborate across cross-functional teams. • Available for contractor engagement; sourced via approved vendor channels.

Experience with TensorFlow or PyTorch, GPU, and CUDA * BS, MS, or PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or another Engineering field, or equivalent experience

New

Responsibilities : • Strong Python development • FastAPI • ML libraries • ML frameworks • PyTorch • TensorFlow • Scikitlearn • GenAI stack • OpenAI • Claude • LLaMA • Hugging ...

Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch, scikit-learn, or XGBoost. * Implement models in production environments using MLOps best practices (e.g ...

CCaaS Google Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering, and TensorFlow into production systems. * Understand model lifecycle including evaluations ...

The ideal candidate has strong expertise in machine learning systems, data pipelines, and distributed computing, along with hands-on experience in Python and frameworks such as PyTorch, TensorFlow ...

Showing results 41-60

Tensorflow information

See salary details

$37.5K

$122.7K

$196.5K

How much do tensorflow jobs pay per year?

As of Aug 17, 2026, the average yearly pay for tensorflow in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

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 does a TensorFlow developer do?

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?

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 jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.
More about Tensorflow jobs

What cities are hiring for Tensorflow jobs?

Cities with the most Tensorflow job openings:

What are the most commonly searched types of Tensorflow jobs?

The most popular types of Tensorflow jobs are:

What states have the most Tensorflow jobs?

States with the most job openings for Tensorflow jobs include:

Infographic showing various Tensorflow job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Mid-Level Python ML Data Scientist [$254/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Herndon, VA • On-site

$260K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Develop machine learning models for text classification and topic modeling. • Utilize Python, PyTorch, Tensorflow, and SQL for model development. • Conduct advanced statistical analysis. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 8+ years • Total Compensation: $260k+ yearly (tentative) Job Description: • Utilize Python NLP packages such as Spacy, Gensim, or NLTK. • Apply deep learning frameworks such as PyTorch, Tensorflow, or Keras. • Leverage the HuggingFace Transformers library and hub. • Create machine learning models that conduct text classification and topic modeling. • Work with SQL for data management and querying. • Leverage GPUs for accelerated computing. • Conduct advanced statistical analysis on personnel, intelligence, and performance metrics. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency