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Tensorflow Jobs in Texas (NOW HIRING)

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

Required : • Strong programming proficiency (especially Python - expert level) • Deep learning frameworks (PyTorch, TensorFlow) • Data engineering skills to build and deploy models • ...

Computer Vision Engineer

Irving, TX · On-site

$107K - $126K/yr

Contract (C2C) Experience: 5+ years Python, OpenCV, TensorFlow/PyTorch, image processing, CNNs (YOLO, Faster R-CNN), data preprocessing, and cloud/edge deployment. About the Role We're seeking an ...

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

Computer Vision Engineer

Irving, TX · On-site

$107K - $126K/yr

Contract (C2C) Experience: 5+ years Python, OpenCV, TensorFlow/PyTorch, image processing, CNNs (YOLO, Faster R-CNN), data preprocessing, and cloud/edge deployment. About the Role We're seeking an ...

Security NLP Architect

Houston, TX · On-site

$62 - $80.25/hr

Deep familiarity with PyTorch, TensorFlow, LangChain, Hugging Face Transformers, or equivalent AI middleware. Strong background building and scaling production-grade AI applications within ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain ...

Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch. Core Roles and Responsibilities Data Collection and Preparation: Gathering unstructured and structured data from ...

Required : • 5+ years of hands on with ML technologies. • Expert Python and strong experience with ML/DL frameworks (TensorFlow, PyTorch, scikit learn) • Hands on experience with LLMs, RAG ...

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Tensorflow information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do tensorflow jobs pay per year?

As of Aug 12, 2026, the average yearly pay for tensorflow in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 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 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.

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 are the most commonly searched types of Tensorflow jobs in Texas? The most popular types of Tensorflow jobs in Texas are:
What cities in Texas are hiring for Tensorflow jobs? Cities in Texas with the most Tensorflow job openings:
Infographic showing various Tensorflow job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

AI/ML Engineer - Houston, TX, San Antonio, TX, Dallas, TX, Austin, TX.

TechniPros, LLC

Houston, TX • On-site

Other

Posted 2 days ago

New


Job description

Job Title: AI/ML Engineer
Location: Houston, TX, San Antonio, TX, Dallas, TX, Austin, TX.
Contract: 12+ Months
Looking for W2 candidates. No C2C

Job Summary:
We are hiring an AI/ML Engineer with expertise in Google Cloud Platform (Google Cloud Platform) to develop enterprise AI solutions using Vertex AI, BigQuery ML, Generative AI, and cloud-native machine learning technologies.

Key Responsibilities:

  • Develop AI/ML applications using Vertex AI.
  • Build ML pipelines using Vertex Pipelines.
  • Train and deploy models using TensorFlow and PyTorch.
  • Implement Generative AI and RAG solutions.
  • Develop Big  Query ML applications.
  • Deploy scalable Kubernetes workloads.
  • Build AI APIs using Fast API.
  • Implement model monitoring and AI observability.
  • Optimize cloud-native AI infrastructure.
  • Support production AI applications.

Required Skills:

  • Python
  • SQL
  • Google Cloud Platform
  • Vertex AI
  • Big Query
  • Machine Learning
  • TensorFlow
  • PyTorch
  • Generative AI
  • LLMs
  • RAG
  • Docker
  • Kubernetes
  • Fast API
  • Git 

Mandatory Skills:

  • Python
  • Google Cloud Platform
  • Vertex AI
  • Machine Learning
  • TensorFlow
  • PyTorch
  • Big Query
  • Kubernetes
  • Fast API
  • Docker
  • Generative AI

Best Regards:

Tina
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