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Tensorflow Developer Jobs in Texas (NOW HIRING)

... TensorFlow/PyTorch, FastAPI/Flask, and cloud technologies. • Implement MLOps practices with ... • Strong SQL/data engineering experience; proficiency with Spark/Databricks. • Cloud ...

Java AI Developer

Irving, TX · On-site

$49 - $63.50/hr

Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. * Experience with ... Expertise in site reliability engineering. * Expertise in Test driven development. * Expertise in ...

JAVA OR REACT DEVELOPER W2 LOCALS

Irving, TX · On-site

$50.50 - $65/hr

... g., TensorFlow, PyTorch).  Integrate Generative AI capabilities into existing systems and ... Qualifications:  8 + years of Full Stack software engineering experience in developing ...

... TensorFlow) - Experience with data engineering fundamentals (ETL/ELT, SQL, data preprocessing, feature engineering) - Knowledge of model evaluation, validation strategies, and performance tuning ...

Sr. Java Developer

Irving, TX · On-site

$55 - $70/hr

Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. * Experience with ... Expertise in site reliability engineering. * Expertise in Test driven development. * Expertise in ...

Info Way Solutions is seeking highly skilled GenAI & ML Developers to join their team in Austin ... TensorFlow, PyTorch, Hugging Face, etc.). • Excellent problem-solving and analytical skills.

AI DevOps Engineer

Plano, TX · On-site

$50.75 - $69.50/hr

Understanding of machine learning models, data pipelines, and AI frameworks (e.g., TensorFlow, PyTorch) is highly desirable DevOps Tools: Experience with CI/CD tools (Jenkins, GitLab CI ...

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

Required : • Strong programming proficiency (especially Python - expert level) • Deep learning frameworks (PyTorch, TensorFlow) • Data engineering skills to build and deploy models • ...

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Tensorflow Developer information

See Texas salary details

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How much do tensorflow developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for tensorflow developer in Texas is $42.19, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $51.06 per hour, depending on experience, location, and employer.

What is a TensorFlow developer?

A TensorFlow Developer is responsible for designing, building, and deploying machine learning models using TensorFlow, an open-source deep learning framework. They work with neural networks, data preprocessing, and optimization techniques to improve model performance. Their role often includes collaborating with data scientists and engineers to integrate models into applications, ensuring scalability and efficiency. TensorFlow Developers typically have expertise in Python, TensorFlow libraries, and deep learning concepts.

What does a TensorFlow developer do?

As a Tensorflow Developer, your daily tasks often include designing, coding, and refining machine learning models using Tensorflow, as well as preprocessing data and evaluating model performance. You may also be responsible for integrating models into production systems, troubleshooting issues, and collaborating closely with data scientists, engineers, and product teams. Staying updated with the latest developments in the machine learning ecosystem and optimizing solutions for scalability and efficiency are also common aspects of this role. By working on diverse projects, you'll have opportunities to deepen your understanding and broaden your expertise in different application areas.

What are the key skills and qualifications needed to thrive as a TensorFlow developer?

To thrive as a Tensorflow Developer, you need a solid understanding of machine learning and deep learning principles, strong Python programming skills, and practical experience with the Tensorflow framework. Familiarity with tools such as Tensorboard, Keras, and cloud-based ML platforms, as well as relevant certifications like TensorFlow Developer Certificate, is highly valued. Problem-solving ability, attention to detail, and effective teamwork and communication skills help set top candidates apart. These competencies enable developers to design, implement, and optimize machine learning models that address complex business challenges in a collaborative environment.

What is the salary of TensorFlow developer?

The salary of a TensorFlow developer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Skilled developers with expertise in machine learning, deep learning, and Python can command higher salaries, especially in tech hubs or companies requiring advanced AI skills.
Infographic showing various Tensorflow Developer job openings in Texas as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, 13% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $87,761 per year, or $42.2 per hour.

Senior Machine Learning Engineer - Deep & Reinforcement Learning

Houston, TX • On-site

Kanak Elite Services Inc
Software Development • 51 - 200 employees

$99K - $137K/yr

Contractor

Re-posted 24 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Senior Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Senior Machine Learning Engineer – Deep & Reinforcement Learning

Location          : Houston, TX Onsite

Duration         : Long term contract

Required skills:
- Degree in STEM field, Ph.D preferred.
- Master in Deep Learning, Reinforcement Learning, and multimodal large language model.
- Strong Pytorch or TensorFlow programming
- Machine Learning and Statistical Modelling - Mastery
- Exploratory Analysis
- Core Programming Skills & Languages
- AI Engineering Essentials
- DevOps and Agile
- Cloud deployment frameworks, infrastructure, and tooling