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Tensorflow Pytorch Jobs in Arkansas (NOW HIRING)

ML (scikit-learn, TensorFlow, PyTorch); NLP (spaCy, NLTK, Hugging Face, etc.); Data Analytics and Statistical Analysis; SQL; BI tools (Tableau/Power BI/R Shiny); Predictive Modeling; Data ...

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 ...

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 ...

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 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 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:
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.

Manager, Advanced Analytics

Walmart

Bentonville, AR • On-site

$94K - $155K/yr

Full-time

Re-posted 14 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,356 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

What you'll do...

Position: Manager, Advanced Analytics

Job Location: 811 Excellence Dr, Bentonville, AR 72716

Duties: Project Scope: Owns workstreams and individual projects end-to-end for a business area, category or prototype. Manages risk associated with implementation. Business Partnerships: Works with leadership/business partners (e.g., Directors) to discuss and understand goals/functional objectives and key business challenges to develop hypotheses around current and future business issues; identifies functional analytics and research objectives and develops tactical research plans. Provides guidance to Directors and advises on next steps based on insights objectives and research. Presents actionable recommendations to Directors to inform strategic and tactical functional initiatives. Provides and supports the implementation of business solutions by building relationships and partnerships with leadership and other key stakeholders. Model Development: Develops data models (algorithms, approaches) for workstreams and individual projects within a business area or category to drive business results and value. Collaborates with project team to implement modeling solutions. Proof of Concept and Prototype: Manages the development and implementation of prototypes and production-ready complex algorithms for workstreams and individual projects. Manages the testing and validation process to monitor the solution. Collaborates with Advanced Analytics Experts to develop new data analysis techniques. Data Collection and Analysis: Addresses complex business problems by applying advanced analytics to drive data-driven decision making. Makes strategic recommendations to team based on data analysis. Manages and executes data analysis strategy, providing guidance to less experienced team members. Collaboration: Collaborates with functional leadership and cross-functional teams (e.g., Categories, Customer Experience, Merchandising) to develop consultative solutions for workstreams and individual projects for a business area, category or prototype. Interfaces with external business partners and vendors.

Minimum education and experience required: Master's degree or equivalent in Business Analytics, Statistics, Data Science, or related field; OR Bachelor's degree or equivalent in Business Analytics, Statistics, Data Science, or related field and 2 years of experience in data analytics or related experience

Skills Required: Must have experience with: Python; AI; ML (scikit-learn, TensorFlow, PyTorch); NLP (spaCy, NLTK, Hugging Face, etc.); Data Analytics and Statistical Analysis; SQL; BI tools (Tableau/Power BI/R Shiny); Predictive Modeling; Data visualization libraries (plotly, seaborn, matplotlib); Big Data tools (Spark, Hadoop, etc.); Cloud Platforms (AWS, GCP, Azure). Employer will accept any amount of experience with the required skills.

Rate of pay: $94,557.00 - 155,000.00/year

Wal-Mart is an Equal Opportunity Employer.

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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Benefits

Hours and flexibility

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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