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Tensorflow Pytorch Jobs in Arkansas (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

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 ...

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 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.

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Tensorflow Pytorch information

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.

What are popular job titles related to Tensorflow Pytorch jobs in Arkansas?

For Tensorflow Pytorch jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Arkansas look for?

The top searched job categories for Tensorflow Pytorch jobs in Arkansas are:

What cities in Arkansas are hiring for Tensorflow Pytorch jobs?

Cities in Arkansas with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Arkansas as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Data Scientist III at Walmart Bentonville, AR

Hong Kong Study Skills Research Institute

Bentonville, AR • On-site

$90 - $120/hr

Other

Medical, Retirement, PTO

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

Job description

Position Summary

Data Scientist III at Walmart, Bentonville, AR.

What you’ll do
  • Own the full data science lifecycle from problem framing and data discovery through modeling, evaluation, deployment, and monitoring.
  • Build robust predictive, optimization, and experimental solutions using modern ML and statistical methods, then iterate based on offline and online performance.
  • Develop reliable data pipelines and features in partnership with data engineering, and uphold data quality, governance, and scalability standards.
  • Communicate findings with compelling narratives and visualizations for technical and non-technical audiences, including leadership.
  • Collaborate in cross-functional squads with product, engineering, analytics, and operations to launch and improve ML solutions in production.
  • Stay current on ML, Agentic AI, and optimization techniques and evaluate their practical impact within large-scale systems.
What you’ll bring
  • Proven experience building and deploying Agentic AI, OR and ML models for real-world applications, including performance tuning, validation, and A/B testing.
  • Strong programming skills in Python and SQL, plus experience with common ML libraries and open-source frameworks such as ADK, LangGraph, scikit-learn, PyTorch, or TensorFlow.
  • Hands-on experience working with large datasets, distributed compute, and production data pipelines.
  • Excellent communication, structured problem solving, and the ability to navigate ambiguity while driving clarity and outcomes.
  • Excellent academic or industrial track record of proposing, conducting, and reporting original research, plus collaborative research with publications.
Minimum Qualifications
  • Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years’ experience in an analytics or related field.
  • Master’s degree in same fields.
  • 4 years’ experience in an analytics related field.
Preferred Qualifications
  • Experience in data science, machine learning, optimization models.
  • Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
  • Successful completion of assessments in Python, Spark, Scala, or R.
  • Experience with open source frameworks such as scikit-learn, TensorFlow, PyTorch.
  • Knowledge of accessibility standards such as WCAG 2.2 AA and experience in creating inclusive digital experiences.
Benefits

In addition to competitive compensation, benefits include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and other perks.

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity Employer - By Choice.

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