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Tensorflow Jobs in Texas (NOW HIRING)

Gen AI Developer / Sr.

Irving, TX · On-site

$116K - $157K/yr

Proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Hands-on experience with LLM development, fine-tuning, and deployment. Deep understanding of ...

Collaborate with data scientists to integrate machinelearning models (e.g., using TensorFlow, PyTorch, or scikit-learn) forapplications such as energy demand forecasting, predictive maintenance ...

The ideal candidate will have strong experience in Python, SQL, REST APIs, deep learning frameworks such as PyTorch and TensorFlow, and hands-on expertise with Large Language Models (LLMs) including ...

AI/ML Engineer - Plano, TX

Plano, TX

$110K - $132K/yr

Python programming Machine Learning & Deep Learning TensorFlow / PyTorch / Scikit-learn End-to-end ML pipeline development Model deployment & REST APIs SQL / NoSQL databases Data structures ...

Data Science & Machine Learning (Python, Scikit-Learn, TensorFlow, model deployment) * Data Analytics & BI (SQL, Excel, Power BI, Tableau, business KPIs) * Data Engineering (Apache Spark, Databricks ...

Sr AI Developer

Irving, TX · On-site

$112K - $151K/yr

PyTorch / TensorFlow / Scikit-learn * LangChain / OpenAI APIs / Hugging Face * MLOps & CI/CD * Azure, AWS, or GCP * RAG Architectures & AI Agents * Cloud AI Deployment * Data Engineering Fundamentals ...

Data Science & Machine Learning (Python, Scikit-Learn, TensorFlow, model deployment) * Data Analytics & BI (SQL, Excel, Power BI, Tableau, business KPIs) * Data Engineering (Apache Spark, Databricks ...

Experience with PyTorch/TensorFlow and Git. Preferred * LangChain, LlamaIndex, Vector Databases. * AWS, Google Cloud Platform, or Azure exposure. * AI/GenAI projects on GitHub or portfolio. If you ...

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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 Jun 9, 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 June 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.
Sr Data Scientist - Gen AI ML - Tampa/Irving/ Mississauga

Sr Data Scientist - Gen AI ML - Tampa/Irving/ Mississauga

Photon

Irving, TX • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.

Technical Stack:

LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.

Frameworks: LangChain, LlamaIndex, and Hugging Face.

Orchestration: LangGraph and Multi-Agent Systems (MAS).

Development: Python, FastAPI, and Asynchronous Programming.

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.

Deployment: Docker, Production API management, and LLM monitoring.

Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.

Key Responsibilities:

Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.

Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.

Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.

Design and deploy high-performance, scalable backend services using FastAPI and Async Python.

Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.

Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.

Containerize and deploy AI services via Docker to production environments.

Required Qualifications:

7+ years of experience ; Hands-on experience building and deploying GenAI applications in a production setting.

Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).

Experience with vector search, embedding models, and advanced data retrieval patterns.

Knowledge of model fine-tuning techniques and local LLM quantization/hosting.

Familiarity with production-grade monitoring, API security, and CI/CD for ML.

Compensation, Benefits and Duration

Minimum Compensation: USD 62,000
Maximum Compensation: USD 217,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post