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Tensorflow Pytorch Jobs in Houston, TX (NOW HIRING)

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Python mastery (TensorFlow/PyTorch, Transformers, Scikit-learn). * Cloud (AWS) and containerization (Docker) experience. Nice-to-Have (Preferred Experience): * Production experience with GenAI models ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to-end AI development lifecycle, including data preprocessing, model training, and deployment.

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Proficiency in Python and R, with expertise in AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, Transformers, and visualization tools (Matplotlib, Seaborn, ggplot2). * Strong knowledge of ...

Gainwell Technologies LLC

Expert AI Engineer

Houston, TX · On-site

$147K - $210K/yr

Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What we ...

Cognizant

Lead AI/ML Developer

Houston, TX · On-site

$133 - $157/hr

Develop forecasting, classification, regression, recommendation, and Generative AI solutions using Python, PySpark, TensorFlow, PyTorch, and related frameworks. * Design and implement RAG-based ...

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Yantran LLC

Customer Delivery Head

Texas City, TX · On-site

Extensive experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit learn). Strong understanding of machine learning algorithms, data structures, and software design patterns.

Invesco

Principal Automation & AI Engineer

Houston, TX · On-site

Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. * Software Engineering: Strong programming skills in ...

DPR Construction

MLOps Engineer

Houston, TX · On-site

Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn Required Skills * Experience with ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Production-level experience with Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest SQL: Advanced proficiency with complex queries ...

Invesco

Principal Automation & AI Engineer

Houston, TX · Hybrid

Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. * Software Engineering: Strong programming skills in ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Houston, TX

Tensorflow Pytorch information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

How much do tensorflow pytorch jobs pay per year?

As of Aug 23, 2026, the average yearly pay for tensorflow pytorch in Houston, TX is $117,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Houston, TX?

For Tensorflow Pytorch jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Houston, TX look for?

The top searched job categories for Tensorflow Pytorch jobs in Houston, TX are:

What cities near Houston, TX are hiring for Tensorflow Pytorch jobs?

Cities near Houston, TX with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Houston, TX as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 5% Part Time, and 6% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $117,212 per year, or $56.4 per hour.

Part-Time Faculty - Computer Information Tech Artificial Intelligence (South)

San Jacinto College

Houston, TX • On-site

Full-time, Part-time

Re-posted 8 days ago

San Jacinto College rating

8.9

Company rating: 8.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

34th of 622 rated colleges and universities

Job description

Part-Time Faculty - Computer Information Tech Artificial Intelligence (South)
Teaching Computer Information Technology Artificial Intelligence related coursework.
Additional Responsibilities:
  • Develop syllabi and materials, including laboratory activities, aligned with state, college, and departmental standards.
  • Participate in the design of course content and materials that cover emerging trends in artificial intelligence, information technology, and cybersecurity.

Applications for part-time faculty positions are accepted on a continuous basis and reviewed if openings become available. These positions are not current vacancies. Instructors employed as part-time faculty are not entitled to all the rights, privileges, and benefits of regular, full-time employees. Part-time faculty are hired on an "as needed" basis and will work for the duration of time specified by the respective course. A portion of teaching assignment may be evening classes and possibly weekend classes. Faculty are assigned to teach courses using various delivery methods based on the teaching area and the needs of students and the College, which may require a physical presence at the assigned on-site work location.
Required Education:
  • Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, or a closely related discipline.

Required Experience:
  • 3 years of full-time work experience in AI, machine learning, data analytics, or related fields.
  • Practical experience with AI tools and frameworks (e.g., Python, TensorFlow, PyTorch).
  • Familiarity with data governance, compliance standards, and AI ethics.

Preferred Education:
  • Master's degree in AI or related field.

Preferred Experience:
  • College-level teaching experience.
  • Five or more years of professional experience in AI or related domains.
  • Experience in deploying AI solutions in organizational settings.

Preferred Licenses and Certifications:
  • AI/ML-related certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning Specialty).
  • Data governance or compliance certifications.

Salary Grade: AH
Salary is based on the Board-approved salary schedule for the current fiscal year. See Salary Schedule
Requisition Number: req6167
Posting Close Date: 8/31/2026 at 6 pm CST

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