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Tensorflow Pytorch Jobs in Plano, TX (NOW HIRING)

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain ...

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 ...

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong understanding of machine learning algorithms and techniques, including supervised and ...

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 ...

... home in TensorFlow, PyTorch, or similar platforms. • Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team. Preferred : • Strong grasp of ...

... TensorFlow, PyTorch, etc. 3 plus years of experience in building use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud ...

Experience with AI/ML frameworks like TensorFlow, PyTorch, or OpenAI GPT. * Knowledge of computer vision libraries (OpenCV, YOLO, etc.). * C# experience is a plus. * Background in smaller company ...

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 ...

Showing results 21-40

Tensorflow Pytorch information

See Plano, TX salary details

$35.9K

$117.5K

$188.1K

How much do tensorflow pytorch jobs pay per year?

As of Aug 9, 2026, the average yearly pay for tensorflow pytorch in Plano, TX is $117,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $130,200.00 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 are popular job titles related to Tensorflow Pytorch jobs in Plano, TX? For Tensorflow Pytorch jobs in Plano, TX, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Plano, TX look for? The top searched job categories for Tensorflow Pytorch jobs in Plano, TX are:
What cities near Plano, TX are hiring for Tensorflow Pytorch jobs? Cities near Plano, TX with the most Tensorflow Pytorch job openings:
Infographic showing various Tensorflow Pytorch job openings in Plano, TX as of June 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $117,471 per year, or $56.5 per hour.

Data Scientist

Select Minds LLC

Dallas, TX • On-site

$65 - $75/hr

Full-time

Re-posted 15 days ago


Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Job Title: Data Scientist – Integrated Operations
Location: Dallas, TX (Hybrid Remote)
In-Person Interview
 Must be authorized to work in the U.S

Work Arrangement
- Hybrid work model: primarily remote within the Dallas–Fort Worth area.
- Occasional on-site presence required for meetings, training, or business needs.
- Limited business travel may be required.
Roles &  Responsibilities
.               6+ years of experience in Machine Learning and Data Science.
•            Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and       algorithms.
•            Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, 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 Python APIs.
•            Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
•            Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
•            Proven experience in developing and deploying machine learning models in a production environment.
•            Experience working with large datasets and performing data analysis
Required Qualifications
Education
- Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience.
Experience
- Advanced experience in data science, machine learning, AI, or optimization projects.
- Proficiency in Python and SQL.
- Strong understanding of statistical methods, experimental design, and model validation.
- Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark).
- Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit).
Preferred Experience
- Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR).
- Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics.

Skills & Abilities

- Ability to independently manage and deliver on complex projects.
- Strong problem-solving and critical thinking skills.
- Effective communication skills for both technical and executive audiences.
- Ability to adapt quickly to changing priorities and new technologies.
- Strong interpersonal and collaboration skills.
.....