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Tensorflow Pytorch Jobs in Irving, TX (NOW HIRING)

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 ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker

AI Lead Engineer

Dallas, TX · Remote

$101K - $133K/yr

... TensorFlow PyTorch Scikit-learn Data Preprocessing & Feature Engineering Model Training, Validation & Evaluation Statistics & ML Algorithms MLOps CI/CD Pipelines Docker Kubernetes REST APIs ...

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI Lead Engineer

Dallas, TX · On-site

$150 - $210/hr

Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker

New

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. * Strong knowledge of CI/CD , and DevOps principles. * Experience with Docker and containerized application ...

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

Experience with Machine Learning frameworks including TensorFlow, PyTorch, and Scikit-learn. * Hands-on experience with Large Language Models (LLMs), Prompt Engineering, and Generative AI.

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

Integrate machine learning models using TensorFlow, PyTorch, or Scikit-learn for inference, prediction, and feedback loops. * Implement Retrieval-Augmented Generation (RAG), vector search, and ...

Experience with TensorFlow, PyTorch, or Scikit-learn. * Experience with LLMs, Prompt Engineering, or Agentic AI is highly desirable. * Knowledge of data engineering and model deployment. * Experience ...

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Tensorflow Pytorch information

See Irving, TX salary details

$36K

$117.9K

$188.7K

How much do tensorflow pytorch jobs pay per year?

As of Aug 12, 2026, the average yearly pay for tensorflow pytorch in Irving, TX is $117,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $130,600.00 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?

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 Irving, TX look for? The top searched job categories for Tensorflow Pytorch jobs in Irving, TX are:
What cities near Irving, TX are hiring for Tensorflow Pytorch jobs? Cities near Irving, TX with the most Tensorflow Pytorch job openings:
Infographic showing various Tensorflow Pytorch job openings in Irving, TX as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 4% Part Time, and 6% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $117,859 per year, or $56.7 per hour.

Machine Learning Platform Engineer

eTeam

Richardson, TX • On-site

Full-time

Re-posted yesterday


Job description

Job Summary:
eTeam is seeking a Machine Learning Platform Engineer to work onsite in Richardson, TX. The role requires strong expertise in ML inference, deployment, and quality validation, with responsibilities including end-to-end ownership from model deployment to user impact.
Responsibilities:
• Should have 7 years of experience with a strong foundation in ML inference, deployment, and quality validation. Should be capable of end-to-end ownership from model deployment to user impact, with the ability to quickly adapt to new technologies.
• Should have strong expertise in ML benchmarking and collaboration, along with hands-on experience deploying models on cloud platforms, preferably GCP. Familiarity with Java/JVM-based systems for model integration, streaming data architectures, and hybrid (on-prem and cloud) environments is essential.
• Must possess solid system design and distributed systems knowledge for troubleshooting, and hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
Qualifications:
Required:
• 7 years of experience with a strong foundation in ML inference, deployment, and quality validation.
• Capability of end-to-end ownership from model deployment to user impact.
• Ability to quickly adapt to new technologies.
• Strong expertise in ML benchmarking and collaboration.
• Hands-on experience deploying models on cloud platforms, preferably GCP.
• Familiarity with Java/JVM-based systems for model integration.
• Experience with streaming data architectures.
• Experience in hybrid (on-prem and cloud) environments.
• Solid system design and distributed systems knowledge for troubleshooting.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.