1

Data Curation Ai Machine Learning Jobs in Arkansas

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

Showing results 41-60

Data Curation Ai Machine Learning information

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Arkansas?

For Data Curation Ai Machine Learning jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Arkansas look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Arkansas are:

What cities in Arkansas are hiring for Data Curation Ai Machine Learning jobs?

Cities in Arkansas with the most Data Curation Ai Machine Learning job openings:

Principal Data Scientist: Associate AI experience

Walmart

Bentonville, AR • On-site

$51K - $52K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,607 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...What you'll do...We are seeking a Principal Data Scientist to provide technical leadership and longterm vision for nextgeneration AI systems and platforms. This senior individual contributor will drive breakthrough system design and advanced solution development that transforms Walmart at scale. The role combines deep technical expertise (ML, simulation, optimization, agentic AI) with crossfunctional influence, mentoring of senior talent, and delivery of highimpact, productionized solutions. You will be a great fit if: - You architect end-to-end ML/AI systems - from feature engineering through production deployment and monitoring - You've built and shipped multiple autonomous AI agents (not just experimented with LLM APIs) - You're Level 5+ on Steve Yegge's Vibe Coding scale and can ship production systems through AI-assisted development - You combine deep statistical rigor with practical business impact
About the Team TheAssociate AI Experiencesteam applies advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart globally. You'll build production Agentic systems, deploy autonomous AI agents, and translate complex data into actionable insights that drive measurable business value at massive scale. Our team builds intelligent platforms, agents and ML-powered solutions that make associates' jobs easier, faster, and more fulfilling across stores, fulfillment centers, distribution centers, and 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: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
  • Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and simulation.
  • Architect and deploy large-scale AI systems and autonomous AI agents - conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns
  • Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy
  • Deploy NLP pipelines at enterprise scale - semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)
  • Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout.
  • Author and review technical designs and standards; present findings to senior leadership.
  • Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams.
  • Establish best practices for model validations, experiemention, and safe deployment of AI systems.
  • Influence roadmap prioritization and long-term strategy for AI and simulation capabilities.
  • Present insights to senior leadership with compelling data visualization, quantified business impact, and clear confidence intervals.
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 - AWS SageMaker AND GCP (Vertex AI, BigQuery, BigQuery ML).
  • Strong Python skills (Pandas, NumPy, Scikit-learn) with containerization (Docker) and MLOps practices.
  • Advanced statistical analysis, experiment design, and causal inference
  • Experience deploying production-grade AI systems at scale.
  • Ability to translate complex analytical results into clear business recommendations for non-technical stakeholders.
Minimum Qualifications
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 5+ years' experience in data science or Machine Learning roles with demonstrated impact.
Preferred Qualifications
  • PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field with relevant industry experience.
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.
Bentonville, Arkansas US-10735: The annual salary range for this position is $110,000.00 - $220,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00
Sunnyvale, California US-11807: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- StockMinimum 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 fieldPreferred 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...2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of AmericaWalmart 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

Social media