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Tensorflow Pytorch Jobs in Houston, TX (NOW HIRING)

Purple Drive Technologies

Gen AI Architect

Houston, TX · On-site

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 ...

Innovcentric LLC

AI Architect

Houston, TX · On-site

$90/hr

... 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 ...

BDO USA

Gen AI Engineering Lead

Houston, TX · On-site

$97K - $128K/yr

... e.g., TensorFlow, PyTorch), required Preferred : • Master's degree in Artificial Intelligence, preferred • Experience with generative AI frameworks (e.g., GPT, DALL-E, Stable Diffusion ...

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.

Prodware Solutions

AI Program Manager

Houston, TX · Hybrid

Strong knowledge of AI technologies (e.g., LLMs, computer vision, NLP) and frameworks (TensorFlow, PyTorch, or similar). * Excellent communication skills; ability to bridge technical and business ...

BDO

Gen AI Engineering Lead

Houston, TX · On-site

$93K - $122K/yr

AI/ML certifications (e.g., TensorFlow, PyTorch, AWS Certified Machine Learning), preferred Software: * Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch), required

BDO USA

Gen AI Engineering Lead

Houston, TX · On-site

$93K - $122K/yr

AI/ML certifications (e.g., TensorFlow, PyTorch, AWS Certified Machine Learning), preferred Software: * Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch), required

Lorven Technologies

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

New

Goldenpick Technologies LLC

Senior AI Engineer

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

Goldenpick Technologies

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

Digitech Services

Sr AI Engineer

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 ...

New

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 ...

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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.
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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

Gen AI Architect

Purple Drive Technologies

Houston, TX • On-site

Full-time

Posted 12 hours ago

Job description

Overview:
Gen AI Architect
  • 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).

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