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Tensorflow Pytorch Jobs in Arkansas (NOW HIRING)

JDA

Sr Gen AI Engineer

Bentonville, AR · On-site

$87K - $140K/yr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies with Docker and kubernetes

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 ...

AAIT Health LLC

Software Engineer

Little Rock, AR

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.

Walmart

Principal, Data Scientist

Greenland, AR

$110K - $220K/yr

Strong expertise in Python and modern machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, XGBoost, or similar technologies. * Deep experience developing machine learning models ...

Walmart

Principal, Data Scientist

Tontitown, AR · On-site

$110K - $220K/yr

Strong expertise in Python and modern machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, XGBoost, or similar technologies. * Deep experience developing machine learning models ...

Walmart

Principal, Data Scientist

Fayetteville, AR · On-site

$110K - $220K/yr

Strong expertise in Python and modern machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, XGBoost, or similar technologies. * Deep experience developing machine learning models ...

Exaways Corporation

ML Engineer

Bentonville, AR

... Ambassador, Triton, PyTorch, Tensorflow/TFserving • experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT • experience with ...

Walmart

Principal, Data Scientist

Bentonville, AR · On-site

$110K - $220K/yr

Strong expertise in Python and modern machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, XGBoost, or similar technologies. * Deep experience developing machine learning models ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Arkansas

Tensorflow Pytorch information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

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:
Tensorflow Pytorch jobs near you

Sr Gen AI Engineer

JDA

Bentonville, AR • On-site

$87K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

Job description

Job Description

Role: Senior Software Engineer ( Gen AI)

Location : Coppell, TX - Hybrid role - LOCALS ONLY ( Min 2 days In Office ) NO REMOTE !!

Please Note: Onsite Interviews ONLY. No video interviews at this time.

About Blue Yonder:

Blue Yonder is a leading AI-driven global supply chain solutions software product company, recognized as one of Glassdoor's and Texas's "Best Places to Work."

With over a decade of experience in implementing AI, our solutions empower organizations to enhance agility, accelerate global expansion, and achieve business objectives.

Our 2025 focus includes: Enhancing AI and ML architecture for faster, more impactful decision-making.

Integrating AI to build resilient supply chains, transforming work through automation of complex tasks, and advancing sustainability by optimizing resources.

Revolutionizing the retail industry by transforming planning and operations, improving demand forecasting, inventory management, fulfillment, and enhancing customer experiences

with personalized shopping, returns, and real-time insights.

About the Role

We are seeking an experienced Software Engineer to play a pivotal role in the development and implementation of Generative AI solutions at Blue Yonder.

You'll work closely with researchers, product managers, and other engineers to transform state-of-the-art AI models into reliable, scalable, and user-friendly products.

What you will do:

  • Develop and optimize AI inference systems for large language models and multimodal AI
  • Build robust APIs and services that power AI-driven features for supply chain management applications
  • Design and implement scalable data pipelines for model training and evaluation
  • Create developer tools and frameworks that enable internal teams to leverage AI capabilities
  • Contribute to model fine-tuning, deployment, and monitoring workflows
  • Collaborate with cross-functional teams to define and execute product roadmaps
  • Expertise in optimizing high-performance, low-latency systems
  • Knowledge of prompt engineering and AI safety/alignment techniques
  • Document code, algorithms, and methodologies for reproducibility and knowledge sharing.
  • Stay current with the rapidly evolving generative AI landscape

Our Current Technical Environment

  • Software/Tools: Python, GitHub, Node.js, React.js, GitHub Actions, Codacy, GitHub Advance Security, Black Duck Hub, BlazeMeter, Artifactory, Ansible, Docker, etc.
  • Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture
  • Cloud Architecture: MS Azure (ARM templates, AKS, Virtual Networks, Event Hub, Azure AD)
  • Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Snowflake

What we are looking for:

Required skills

  • Bachelor's or Master's degree in computer science, Engineering, or related field. This is not a Junior role.
  • Min of 8 years of experience in software engineering, with a focus on Python development building APIs ( MUST)
  • Strong understanding of Generative AI concepts and techniques, with practical experience in developing and implementing Generative AI models and algorithms.
  • Proficiency in programming languages used in AI and machine learning, such as Python, TensorFlow, PyTorch, etc.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies with Docker and kubernetes
  • Understanding of distributed systems and performance optimization
  • Knowledge of modern software development practices including CI/CD, testing, and version control
  • Excellent problem-solving skills and attention to detail

Preferred Skills

  • Experience working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark).
  • Strong problem-solving skills, analytical thinking, and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team.
  • Self-driven with the desire to take ownership and ability to work across the full stack
  • Background in MLOps, model deployment, or model serving infrastructure
  • Expertise in optimizing high-performance, low-latency systems
  • Knowledge of prompt engineering and AI safety/alignment techniques
  • Contributions to open-source projects in the AI space

If you're passionate about building the future of AI, we'd love to hear from you!

#LI-SR1

#LI-LOCAL

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The salary range for this position is $87,515 - $140,765

The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.

At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes:

  • Comprehensive Medical, Dental and Vision

  • 401K with Matching

  • Flexible Time Off

  • Corporate Fitness Program

  • A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more

At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience.

Our Values


If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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