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Ml Inference Jobs in Arkansas (NOW HIRING)

Principal, Data Scientist

Johnson, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Bentonville, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Elkins, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Bella Vista, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

You will build production ML systems, deploy autonomous AI agents, and translate complex data into ... Engineer computer vision systems for realtime inference (YOLO, RTDETR, CLIP) with multiGPU training ...

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Farmington, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Goshen, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

You will build production ML systems, deploy autonomous AI agents, and translate complex data into ... Engineer computer vision systems for realtime inference (YOLO, RTDETR, CLIP) with multiGPU training ...

Principal, Data Scientist

Gravette, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Greenland, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Lowell, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Springdale, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Centerton, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Tontitown, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Elm Springs, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Pea Ridge, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Rogers, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

Principal, Data Scientist

Decatur, AR · On-site

$110K - $220K/yr

Architect end‑to‑end ML systems--from feature engineering through production deployment and ... Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU ...

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Ml Inference information

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often involving advanced skills in deep learning, data modeling, and programming with tools like Python and TensorFlow. These positions usually require extensive experience, specialized knowledge, and may include leadership responsibilities or strategic decision-making.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on product development.

Which 3 jobs will survive AI?

Jobs involving Ml Inference, such as data scientists, machine learning engineers, and AI system architects, are likely to persist as they require specialized expertise in developing, deploying, and maintaining AI models. These roles demand critical thinking, domain knowledge, and skills in programming and data analysis that are less easily automated. Continuous learning and staying updated with AI tools and frameworks are essential for these professions to remain relevant.

What are some common challenges faced by ML Inference Engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models and systems. While AI automation tools can assist with certain tasks, MLEs are essential for building, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Their expertise in data handling, model deployment, and system integration remains critical in AI development environments.

What are the key skills and qualifications needed to thrive in ML Inference, and why are they important?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.
What are popular job titles related to Ml Inference jobs in Arkansas? For Ml Inference jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Ml Inference jobs in Arkansas look for? The top searched job categories for Ml Inference jobs in Arkansas are:
What cities in Arkansas are hiring for Ml Inference jobs? Cities in Arkansas with the most Ml Inference job openings:
Principal, Data Scientist

Principal, Data Scientist

Walmart

Johnson, AR • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,105 frontline employees who took The Breakroom Quiz

24th of 39 rated national retailers


Job description

Position Summary... What you'll do...Principal, Data Scientist – Code Puppy
AI & Data | Walmart Global Tech
Position Summary
Join the Associate AI Experiences team to apply advanced data science, machine learning, and agentic AI to solve high‑impact business problems across Walmart’s global operations. You will build production ML systems, deploy autonomous AI agents, and translate complex data into actionable insights that drive measurable business value at massive scale.
You will be a great fit if you:
  • Architect end‑to‑end ML systems—from feature engineering through production deployment and monitoring
  • Have built and shipped multiple autonomous AI agents (not just experimented with LLM APIs)
  • Are Level 5+ on Steve Yegge’s Vibe Coding scale and can ship production systems using AI‑assisted development
  • Combine deep statistical rigor with practical, real‑world business impact

About the Team
Our team builds intelligent agents and ML‑powered solutions that make associates’ jobs easier, faster, and more fulfilling across stores, fulfillment centers, distribution centers, and the home office. We leverage the Element LLM Gateway to safely access state‑of‑the‑art language models while keeping all data within Walmart’s network. Our work spans NLP, computer vision, time‑series forecasting, and multi‑agent AI systems at enterprise scale.
What You’ll Do
  • Build and deploy production ML systems end‑to‑end, including data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
  • Architect and deploy autonomous AI agents, including conversational assistants, predictive agents with tool calling, and multi‑agent orchestration systems using LangChain, Pydantic AI, and RAG patterns
  • Design agentic evaluation frameworks to benchmark agent performance across task completion, code quality, and multi‑step reasoning accuracy
  • Deploy NLP pipelines at enterprise scale, enabling semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)
  • Engineer computer vision systems for real‑time inference (YOLO, RT‑DETR, CLIP) with multi‑GPU training optimization
  • Build time‑series forecasting models that drive inventory optimization, demand planning, and financial projections across multiple geographies
  • Present insights to senior leadership using compelling data visualizations, quantified business impact, and clearly defined confidence intervals
  • Mentor team members on advanced modeling techniques, feature engineering, and experimental design
  • Travel internationally to support Walmart operations in Canada, Chile, Mexico, South Africa, Europe, and the UK

What You’ll Bring
  • Deep expertise in ML algorithms (XGBoost, CatBoost, LightGBM, Random Forest, AutoML) and deep learning (PyTorch, transformer architectures)
  • Production experience with NLP (BERT, SBERT, FAISS, RAG), computer vision (YOLO, CLIP), and time‑series forecasting (ARIMA, Prophet)
  • Hands‑on experience building and orchestrating multiple AI agents with LangChain, RAG, tool integration, and memory management
  • Multi‑cloud ML platform proficiency across AWS SageMaker and GCP (Vertex AI, BigQuery, BigQuery ML)
  • Strong Python skills (Pandas, NumPy, scikit‑learn), containerization expertise (Docker), and MLOps best practices
  • Advanced knowledge of statistical analysis, experimental design, and causal inference
  • Proven ability to translate complex analytical results into clear, actionable business recommendations for non‑technical stakeholders
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 703 Associate Dr, Bentonville, AR 72716, United States of America 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.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walmart logo

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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