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Tensorflow Pytorch Jobs in Houston, TX (NOW HIRING)

AI Architect

Houston, TX · On-site

$90/hr

Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache ...

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 ...

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.

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

TensorFlow, PyTorch, Scikit-learn * AI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs * Data Tools (Optional): Pandas, NumPy, Spark

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

TensorFlow, PyTorch, Scikit-learn * AI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs * Data Tools (Optional): Pandas, NumPy, Spark

Proficiency in Python and machine learning libraries (TensorFlow, PyTorch, Scikit-learn). * Experience with LLMs, RAG, LangChain/LangGraph, AI Agents, and Vector Databases. * Experience with AWS ...

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

TensorFlow, PyTorch, Scikit-learn * AI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs * Data Tools (Optional): Pandas, NumPy, Spark

Senior AL/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

TensorFlow, PyTorch, or Keras. Experience with LLMs and prebuilt model customization (GPT, BERT, DALL-E). Knowledge of MLOps practices and tools. Experience with cloud platforms: AWS, Google Cloud ...

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 ...

Desk Apps Developer

Houston, TX

$16.25 - $20.75/hr

TensorFlow, PyTorch, Spark, Hadoop, scikit-learn, PowerBI, Tableau, or Selenium * Designing and implementing data pipelines to automate data collection and analytics; * Building machine learning ...

New

Desk Apps Developer

Houston, TX · On-site

$16.25 - $20.75/hr

TensorFlow, PyTorch, Spark, Hadoop, scikit-learn, PowerBI, Tableau, or Selenium * Designing and implementing data pipelines to automate data collection and analytics; * Building machine learning ...

New

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 ...

AI Architect

Houston, TX · On-site

$60.75 - $78.25/hr

... TensorFlow, PyTorch, Scikit-learn. • Strong understanding of data structures, algorithms, and software engineering principles. • Experience with data governance, data quality frameworks, and ...

... TensorFlow, PyTorch, Scikit-learn, and OpenAI API. • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and ...

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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 3, 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 the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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.

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 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.

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 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:
Infographic showing various Tensorflow Pytorch job openings in Houston, TX as of July 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,212 per year, or $56.4 per hour.

AI Architect

Innovcentric LLC

Houston, TX • On-site

$90/hr

Contractor

Re-posted 19 days ago


Job description

Role: AI Architect
Houston TX, hybrid or Remote| $90/hr C2C | Client: TCS | Exp:15+ yrs
Visa: No GC (passport and visa copy required)
 
Skills:
•Experience with Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (e.g., Hugging Face Transformers, OpenAI GPT-3).
•Knowledge of fine-tuning GenAI models for specific tasks and industries.
•Ability to design and implement GenAI solutions for various applications such as text generation, image generation, and conversational AI.
•Familiarity with techniques for training and deploying GenAI models.
•Experience in leveraging GenAI for tasks such as automated content creation and data augmentation.
•Strong programming skills in languages such as Python, R, or Scala.
•Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
•Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop).
•Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
•Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
•Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop).
•Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
 
#Request:apply only if you meet all requirements and can provide the requested documents (please don't ask for RTR without sharing required details)
careers@innovcentric.com 
Thank You.