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Tensorflow Pytorch Jobs in Houston, TX (NOW HIRING)

Senior AI Engineer #26-13102

Houston, TX

$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 APIs ...

AI Engineer

Texas City, TX

$98K - $117K/yr

Experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, or Hugging Face Transformers. * Expertise in LLMs, Prompt Engineering, LangChain, RAG architecture, vector databases ...

New

Security AI Architect

Houston, TX

$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 ...

New

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

New

Sr. AI Engineer@Houston, TX

Houston, TX · On-site

$116K - $154K/yr

TensorFlow, PyTorch, Scikit-learn • APIs & Microservices development • Version control (Git) • Experience with AWS • Containers: Docker, ECS/EKS • CI/CD pipelines (GitHub Actions Or Jenkins ...

Lead AI Developer

Houston, TX · On-site

$90K - $110K/yr

Strong programming experience in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn . * Experience in applying AI within engineering domains such as QA, DevOps, or ...

Lead AI Developer

Houston, TX · On-site

$90K - $110K/yr

Strong programming experience in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn . * Experience in applying AI within engineering domains such as QA, DevOps, or ...

Strong programming experience in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn . * Experience in applying AI within engineering domains such as QA, DevOps, or ...

AI Architect

Houston, TX

$60.75 - $78.25/hr

Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. * Strong understanding of data structures, algorithms, and software engineering principles. * Experience with data ...

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

AI Architect

Houston, TX · On-site

$60.75 - $78.25/hr

Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. * Strong understanding of data structures, algorithms, and software engineering principles. * Experience with data ...

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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 Jun 12, 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 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:
Senior AI Engineer #26-13102

Senior AI Engineer #26-13102

US Tech Solutions

Houston, TX

$99K - $137K/yr

Other

Posted 7 days ago


Job description

Duration: 6+ Months Contract with possible extension to long term Summary: We are seeking a highly skilled Senior AI Engineer to design, build, and deploy scalable artificial intelligence and machine learning solutions. This role requires strong expertise in developing predictive models, implementing AI-powered applications, and integrating them into enterprise systems. The ideal candidate combines deep technical proficiency with practical experience in cloud platforms and production-grade AI systems.

Required Skills & Experience: Overall minimum of 8 years of IT experience with minimum of 2 years of required AI tool working experience Programming: Python (preferred), Java, or Scala ML Frameworks: 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 APIs & Microservices development Version control (Git) Cloud & DevOps: Experience with AWS, Containers: Docker, ECS/EKS, CI/CD pipelines (GitHub Actions Or Jenkins Or GitLab CI) Data & Systems: Databases: SQL, NoSQL; Familiarity with data pipelines and ETL processes (Optional); Understanding of distributed systems Roles & Responsibilities: AI/ML Model DevelopmentDesign, develop, and optimize machine learning and deep learning models Build NLP, computer vision, or predictive analytics solutions Train, test, and evaluate models for accuracy, scalability, and performance Fine-tune pre-trained models (e.g., LLMs, transformers) for business use cases Data Engineering & ProcessingCollect, clean, and preprocess structured and unstructured datasets Work with large-scale data pipelines and streaming data systems Implement feature engineering and data transformation workflows Deployment & MLOps:Deploy models into production using APIs, containers, or microservices Work with DevOps to build CI/CD pipelines for ML workflows (MLOps) Monitor model performance, drift, and reliability in production Optimize latency, throughput, and cost efficiency. Cloud & System Integration:Integrate AI solutions into cloud platforms (AWS) Work with services like SageMaker, Clienture ML, Vertex AI, or OpenAI APIs Collaborate with DevOps, backend, and frontend teams for implementation Research & Innovation:Stay up to date with emerging AI technologies and frameworks Evaluate and implement GenAI, LLMs, and prompt engineering techniques Prototype and experiment with new AI-driven solutions Location: Hybrid// Houston, TX (onsite for 1 day/ week) Disclaimer: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.


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About US Tech Solutions

Sourced by ZipRecruiter

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

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