1

Tensorflow Pytorch Jobs in Forney, TX (NOW HIRING)

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 ...

Python LLM Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization ...

Data Scientist

Irving, TX · On-site

$90K - $105K/yr

Strong coding skills in languages like Python, and SQL; experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Statistical Expertise: Deep understanding of statistical ...

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 ...

Senior ML Ops Engineer

Dallas, TX · On-site

$103K - $142K/yr

Tensorflow / PyTorch * Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). * Strong understanding of containerization technologies (e.g., Docker, Kubernetes). Must Have ...

Senior ML Engineer

Addison, TX · On-site

$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 Ops Engineer

Dallas, TX · On-site

$103K - $142K/yr

Tensorflow / PyTorch * Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). * Strong understanding of containerization technologies (e.g., Docker, Kubernetes). Must Have ...

New

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 ...

Senior ML Ops Engineer

Dallas, TX · On-site

$103K - $142K/yr

Java (library/package management, algorithms), Python, TensorFlow / PyTorch * DevOps: CI/CD pipelines, Terraform * Containerization: Docker, Kubernetes Nice-to-Have Skills * Google Cloud Platform ML ...

next page

Showing results 1-20

Tensorflow Pytorch information

See Forney, TX salary details

$33.8K

$110.6K

$177K

How much do tensorflow pytorch jobs pay per year?

As of Jul 10, 2026, the average yearly pay for tensorflow pytorch in Forney, TX is $110,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $122,500.00 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 job categories do people searching Tensorflow Pytorch jobs in Forney, TX look for? The top searched job categories for Tensorflow Pytorch jobs in Forney, TX are:
What cities near Forney, TX are hiring for Tensorflow Pytorch jobs? Cities near Forney, TX with the most Tensorflow Pytorch job openings:

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

Must Have Technical/Functional Skills
Primary Skill: AI Engineer
Secondary: Python
Experience: Minimum 10 years
Roles & Responsibilities
• Design, develop, and deploy AI applications using Python, Expert-level Python programming
• Proficiency in AI frameworks (TensorFlow, PyTorch, Keras, Scikit-learn)
• Experience with LLMs, RAG, OpenAI APIs
• Cloud/DevOps experience (Azure/AWS, SageMaker, Kubernetes, CI/CD)
• Database expertise (SQL & NoSQL)
• Develop and maintain Python backend services, APIs, and microservices
• Integrate machine learning models, neural networks, and generative AI (Transformers, LLMs)
• Implement AI solutions on cloud platforms (AWS, Azure, Google Cloud)
• Build and fine-tune Generative AI with frameworks (TensorFlow, PyTorch, Hugging Face)
• Monitor and improve model performance and scalability
• API development (RESTful) preferred
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000-$140,000 a year