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Tensorflow Pytorch Jobs in Bryant, AR (NOW HIRING)

Triunity Software, Inc.

AI Engineer

Little Rock, AR · On-site

$110 - $150/hr

Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn * Experience with NLP, computer vision, or generative AI is a strong plus * Familiarity with cloud platforms ...

AAIT Health LLC

Software Engineer II

Little Rock, AR

Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Experience in UI Path, Angular, Django, Tensorflow, Python, Github, and JIRA. * Take directions and ...

AAIT Health LLC

Software Engineer

Little Rock, AR · On-site

Familiarity with machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest in future in-house model work. Healthcare or EMR experience and HIPAA-aware development practices.

Triunity Software

AI Engineer

Little Rock, AR · On-site

$100K - $110K/yr

Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn * Experience with NLP, computer vision, or generative AI is a strong plus * Familiarity with cloud platforms ...

AAIT Health

Software Engineer

Little Rock, AR · On-site

Bonus Points · Experience integrating AI features (e.g., LLM/NLP or other AI services) into production software. · Familiarity with machine learning (e.g., Python, TensorFlow, PyTorch, or scikit ...

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Bryant, AR

Tensorflow Pytorch information

See Bryant, AR salary details

$31.7K

$103.9K

$166.3K

How much do tensorflow pytorch jobs pay per year?

As of Aug 31, 2026, the average yearly pay for tensorflow pytorch in Bryant, AR is $103,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $115,100.00 per year, depending on experience, location, and employer.

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 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.

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 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.

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Bryant, AR as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $103,904 per year, or $50 per hour.

AI Engineer

Little Rock, AR • On-site

Triunity Software, Inc.
IT Services • 11 - 50 employees
Learn more about Triunity Software, Inc.external

$110 - $150/hr

Other

Medical

This job post has expired today. Applications are no longer accepted.

Job description

Benefits:
  • Bonus based on performance
  • Health insurance
  • Training & development
About the Role:

Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Little Rock, AR. This is an exciting opportunity to work at the forefront of artificial intelligence and software innovation, building intelligent solutions that make a real impact. If you're passionate about AI and love solving complex problems, we want to hear from you!

Responsibilities:
  • Design, develop, and deploy machine learning models and AI-driven applications
  • Collaborate with software engineers and product teams to integrate AI solutions into existing platforms
  • Analyze large datasets to identify patterns, trends, and opportunities for model improvement
  • Research and evaluate emerging AI/ML frameworks, tools, and methodologies
  • Monitor, maintain, and optimize deployed models for performance and accuracy
  • Develop and maintain data pipelines to support model training and inference workflows
  • Document technical processes, architectures, and model performance metrics
Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
  • Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn
  • Experience with NLP, computer vision, or generative AI is a strong plus
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
  • Strong understanding of data structures, algorithms, and statistical modeling
  • Experience with SQL/NoSQL databases and data pipeline tools
  • Excellent problem-solving skills and ability to work in a collaborative, agile environment
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About Triunity Software

Sourced by ZipRecruiter

Triunity is a Product Development, Staff Augmentation, and Consulting Services company providing solutions and services in North America. We provide IT services and technology solutions to various business verticals like Healthcare, Pharma, Banking, Finance, etc. Our goal is to develop a long-term partnership with businesses and help them get a competitive advantage by providing IT infrastructure and software platforms.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Iselin, NJ, US

Year founded

2021

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