ZipRecruiter

Log In

1

Tensorflow Pytorch Jobs in Dallas, TX (NOW HIRING)

InfoVision, Inc.

Lead Data Science Engineer

Irving, TX

$98K - $129K/yr

... TensorFlow, PyTorch, and ML frameworks. • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and MLOps tools. • Solid understanding of data engineering, distributed computing ...

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 ...

WIS International

Principal Engineer AI

Plano, TX · On-site

Required : • 10+ years in software engineering or data science, with 5+ years specializing in AI/ML at enterprise scale. • Proven expertise in machine learning frameworks (TensorFlow, PyTorch ...

TalentOla

AI/ML Lead

Dallas, TX

TensorFlow, PyTorch, or Kera s * .Experience with LLMs and prebuilt model customization (GPT, BERT, DALL-E ) * .Knowledge of MLOps practices and tool s * .Experience with cloud platform s: AWS, GCP ...

Gap, Inc.

Senior Analyst, Data Science

Coppell, TX · On-site

$169K - $222K/yr

... Tensorflow, Pytorch. Who You Are Master's degree or foreign degree equivalent in Data Science, Operations Research, Statistics, or related field and three (3) years of experience in Data science or ...

Anblicks

Senior AI Engineer

Dallas, TX

$103K - $142K/yr

Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. * Experience with cloud platforms (AWS, Azure) and MLOps tools * Strong understanding of data structures ...

Long Finch Technology

AI/ML Lead

Dallas, TX

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, GCP ...

Gap Inc.

Senior Analyst, Data Science

Coppell, TX

$169K - $222K/yr

... Tensorflow, Pytorch. Who You Are Master's degree or foreign degree equivalent in Data Science, Operations Research, Statistics, or related field and three (3) years of experience in Data science or ...

Infosys

AWS and AI Engineer

Richardson, TX · On-site

Preferred : • Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering. • Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Company

Trident Consulting

Java + AI Developer

Plano, TX · On-site

$75/hr

Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience with generative AI tools (e.g., Bedrock, SageMaker). • Infrastructure as Code (IaC): Experience with Terraform or ...

New

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.

next page

Showing results 1-20

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Dallas, TX

Tensorflow Pytorch information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

How much do tensorflow pytorch jobs pay per year?

As of Jun 12, 2026, the average yearly pay for tensorflow pytorch in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 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 Dallas, TX? For Tensorflow Pytorch jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Dallas, TX look for? The top searched job categories for Tensorflow Pytorch jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Tensorflow Pytorch jobs? Cities near Dallas, TX with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Software Engineer - AI Specialist | Remote

Software Engineer - AI Specialist | Remote

GigWorld Talent Solutions

Dallas, TX • On-site, Remote

Other

Posted 29 days ago

Job description

Job Description Software Engineer - AI Specialist | Remote Permanent, Full-Time We are supporting an innovative technology firm dedicated to building AI-driven solutions that drive efficiency and transformation across industries. We are seeking a highly skilled Software Engineer specializing in Artificial Intelligence to develop, optimize, and deploy AI-powered applications. Responsibilities: Design, develop, and implement AI models and machine learning algorithms.

Collaborate with cross-functional teams to integrate AI solutions into existing platforms. Optimize AI models for performance, scalability, and efficiency. Research and apply the latest advancements in AI and deep learning.

Develop and maintain data pipelines and AI-driven analytics systems. Ensure AI models are robust, ethical, and aligned with best practices. Troubleshoot and improve AI-based applications as needed.

Stay updated on emerging AI trends and technologies. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in AI and machine learning development.

Proficiency in programming languages such as Python, Java, or C++. Strong understanding of AI frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with natural language processing (NLP), computer vision, or predictive analytics

Knowledge of data science methodologies and model evaluation techniques. Experience with cloud platforms and AI services (AWS, Azure, GCP). Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications: Experience with reinforcement learning and generative AI models. Familiarity with AI ethics, bias mitigation, and explainability techniques. Contribution to open-source AI projects.

Understanding of big data technologies and distributed computing. Benefits: Competitive salary and performance-based incentives. Flexible work schedule and remote work opportunities.

Professional development and continuous learning resources. Opportunity to work with a passionate and innovative team in a fast-growing industry.

Apply