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Tensorflow Pytorch Jobs in Houston, TX (NOW HIRING)

Scalence L.L.C.

AI ML Software Engineer

Houston, TX · On-site

... TensorFlow, PyTorch, Scikit-learn, and OpenAI API. • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and ...

Connect Tech+Talent

Security NLP Architect

Houston, TX · On-site

$62 - $80.25/hr

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

Virtual Networx

Sr Data Scientist

Houston, TX · On-site

Deep Learning (TensorFlow or PyTorch) preferred * Version Control (Git) * Cloud platforms (AWS, Azure, or Google Cloud) Preferred Skills * NLP (Natural Language Processing) * Large Language Models ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Production-level experience with Pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch, Hugging Face Transformers, FastAPI/Flask, MLflow, and pytest SQL: Advanced proficiency with complex queries ...

DPR Construction

MLOps Engineer

Houston, TX

Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn Required Skills * Experience with ...

Forum Energy Services, Inc.

AI Architect

Houston, TX

$60.75 - $78.25/hr

Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. * Strong understanding of data structures, algorithms, and software engineering principles. * Experience with data ...

Dow Chemical

Machine Learning Engineer

Manvel, TX · On-site

$120 - $190/hr

Works proficiently with various ML frameworks, such as scikit-learn, TensorFlow, PyTorch, Keras, as well as distributed frameworks like Spark MLlib and Ray * Performs data analysis, feature ...

Dow Chemical

Machine Learning Engineer

Deer Park, TX · On-site

$130 - $190/hr

Works proficiently with various ML frameworks, such as scikit-learn, TensorFlow, PyTorch, Keras, as well as distributed frameworks like Spark MLlib and Ray * Performs data analysis, feature ...

New

Dow Chemical

Machine Learning Engineer

Kemah, TX · On-site

$120 - $160/hr

Works proficiently with various ML frameworks, such as scikit-learn, TensorFlow, PyTorch, Keras, as well as distributed frameworks like Spark MLlib and Ray * Performs data analysis, feature ...

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Showing results 21-40

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Houston, TX

Tensorflow Pytorch information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

How much do tensorflow pytorch jobs pay per year?

As of Aug 9, 2026, the average yearly pay for tensorflow pytorch in Houston, TX is $117,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $129,900.00 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 Houston, TX? For Tensorflow Pytorch jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Houston, TX look for? The top searched job categories for Tensorflow Pytorch jobs in Houston, TX are:
What cities near Houston, TX are hiring for Tensorflow Pytorch jobs? Cities near Houston, TX with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Houston, TX as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $117,212 per year, or $56.4 per hour.

AI ML Software Engineer

Scalence L.L.C.

Houston, TX • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Scalence L.L.C. is a company focused on AI and machine learning solutions, and they are seeking an AI ML Software Engineer. The role involves designing, developing, and deploying AI/ML solutions while collaborating with cross-functional teams to meet business objectives.
Responsibilities:
• Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
• Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
• Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
• Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
• Conduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
• Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
• Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
• Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 6-9 years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
• Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
• Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
• Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
• Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs.
• Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
• Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
• A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering.
Preferred:
• Familiarity with the financial services industries.
• Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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