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Tensorflow Jobs in Texas (NOW HIRING)

AI Architect

Houston, TX · On-site

$90/hr

... TensorFlow, PyTorch, scikit-learn). • Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop). • Experience with cloud platforms (e.g., AWS ...

PyTorch, TensorFlow, scikit-learn, or similar ML frameworks * AWS/Azure/Google Cloud Platform cloud experience * Model deployment, MLOps, Docker, Kubernetes, CI/CD * API development using FastAPI or ...

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 ...

Deep familiarity with PyTorch, TensorFlow, LangChain, Hugging Face Transformers, or equivalent AI middleware. • Strong background building and scaling production-grade AI applications within ...

Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch. Core Roles and Responsibilities Data Collection and Preparation: Gathering unstructured and structured data from ...

Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and data tooling. * Strong communication skills to collaborate across cross-functional teams. * Available for ...

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Tensorflow information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do tensorflow jobs pay per year?

As of Jul 22, 2026, the average yearly pay for tensorflow in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are the most commonly searched types of Tensorflow jobs in Texas? The most popular types of Tensorflow jobs in Texas are:
What cities in Texas are hiring for Tensorflow jobs? Cities in Texas with the most Tensorflow job openings:
Infographic showing various Tensorflow job openings in Texas as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 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