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Tensorflow Pytorch Jobs in Grand Prairie, TX (NOW HIRING)

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn. * Experience with cloud-based AI services such as AWS, Google Cloud ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn. * Experience with cloud-based AI services such as AWS, Google Cloud ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). * Proficiency in using analytics platforms like Databricks for large-scale data processing.

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). * Proficiency in using analytics platforms like Databricks for large-scale data processing.

Forhyre

Prompt Engineers

Plano, TX

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Forhyre

Prompt Engineers

Dallas, TX · On-site

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Gainwell Technologies LLC

Expert AI Engineer

Dallas, 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 ...

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

... TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. • Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). • Experience in building Asynchronous ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

... as TensorFlow, PyTorch, or scikit-learn. • Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement ...

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

TensorFlow * PyTorch * Experience with statistical modeling, predictive analytics, and feature engineering. * Strong understanding of: * Regression Analysis * Hypothesis Testing * Probability ...

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas, NumPy, Polars, SciPy, Matplotlib ...

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch). * Proven success building conversational agents with Vertex AI and Dialogflow CX/ES. * Proficiency in GCP ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Grand Prairie, TX

Tensorflow Pytorch information

See Grand Prairie, TX salary details

$35.5K

$116.2K

$186K

How much do tensorflow pytorch jobs pay per year?

As of Aug 22, 2026, the average yearly pay for tensorflow pytorch in Grand Prairie, TX is $116,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,700.00 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 job categories do people searching Tensorflow Pytorch jobs in Grand Prairie, TX look for?

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

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

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

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Grand Prairie, TX as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,178 per year, or $55.9 per hour.

AI Prompt Engineer (TIBCO)- Dallas, TX

Photon

Dallas, TX • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

We are looking for a detail-oriented prompt engineer responsible for designing and optimizing the interactions between users and AI language models. Your primary focus will be the development of effective prompt strategies to ensure consistent accuracy in AI-generated outputs.

You will also be responsible for collaborating with product teams to integrate AI capabilities into customer-facing applications.

Responsibilities

Design and craft prompts for content generation data analysis

Run systematic A/B tests to measure prompt effectiveness

Create versioned prompt libraries with clear documentation and use case examples

Integrate AI prompt solutions into existing workflows

Collaborate with data engineers / ML engineers / product teams to fine-tune prompts

Document prompt experiments and outcomes.

Stay updated on the latest advancements in AI, NLP, and prompt engineering techniques

other responsibilities specific to TIBCO implementation

Required prompt engineer skills and qualifications

8+years of experience working with AI or NLP technologies

Proficient in prompt engineering with experience in at least one major AI platform, such as OpenAI API, Anthropic Claude, Google Gemini, Microsoft Copilot, depending on your tech stack

Strong command of English for nuanced prompt crafting

Knowledge of prompt chaining and multi-step reasoning techniques

Understanding of token economics and context window management

Familiarity with tech stack: JavaScript & Java frameworks

Experience measuring and reporting on prompt performance metrics

Strong analytical and problem-solving skills, with attention to detail.

Preferred qualifications

Python programming skills and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) are a plus

Experience with prompt chaining and multi-agent architectures using automation platforms 

Knowledge of RAG systems, vector databases, fine-tuning processes.

Previous work in Banking industry.

Compensation, Benefits and Duration

Minimum Compensation: USD 38,000
Maximum Compensation: USD 135,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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