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Ml Inference Jobs in Winslow, AR (NOW HIRING)

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

(USA) Principal, Data Analyst

Goshen, AR · On-site

$90K - $180K/yr

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

(USA) Principal, Data Analyst

Lowell, AR · On-site

$90K - $180K/yr

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

(USA) Principal, Data Analyst

Rogers, AR · On-site

$90K - $180K/yr

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

(USA) Principal, Data Analyst

Elkins, AR · On-site

$90K - $180K/yr

Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making. * Demonstrated leadership in mentoring teams, managing deliverables, and ...

Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches (Double ML, Instrumental Variables, Uplift modeling); Optimization & Reinforcement Learning: Multi ...

Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches (Double ML, Instrumental Variables, Uplift modeling); Optimization & Reinforcement Learning: Multi ...

Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches (Double ML, Instrumental Variables, Uplift modeling); Optimization & Reinforcement Learning: Multi ...

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Showing results 1-20

Ml Inference information

See Winslow, AR salary details

$35.9K

$117.4K

$187.9K

How much do ml inference jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ml inference in Winslow, AR is $117,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $130,000.00 per year, depending on experience, location, and employer.

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 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.

What are the key skills and qualifications needed to thrive in ML inference?

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.

Is ML inference a high paying job?

ML inference roles are generally well-paying, especially for those with skills in machine learning frameworks, programming, and cloud platforms. Salaries vary based on experience, location, and industry, but they tend to be higher than average for tech-related positions.

(USA) Principal, Data Analyst

Walmart

Farmington, AR • On-site

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,421 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
As the Principal Data Analyst, you will lead the formulation and execution of advanced data strategies to address complex business challenges. This role requires deep expertise in data analysis, visualization, and quality management to deliver actionable insights that drive informed decision-making. You will collaborate across multiple business domains to translate requirements into effective solutions, mentor team members, and ensure data integrity. By leveraging cutting-edge analytical techniques and tools, you will influence business outcomes and support Walmart’s commitment to operational excellence and innovation.
About the team:
Our team supports global Procurement and Travel Operations, focusing on maximizing savings and value for Walmart Global Enterprise. We collaborate with leading travel suppliers, applying strategic sourcing and negotiation to secure optimal contracts. Engaging with multiple global suppliers and internal stakeholders, we develop and execute comprehensive supplier strategies. Reporting to senior leadership, the team drives cost efficiencies and risk mitigation while maintaining strong supplier relationships. This group plays a key role in advancing operational excellence and supporting Walmart’s continued success through data-driven insights and strategic partnership management.
What you'll do:
  • Analyze complex business problems using advanced data analytics and automation techniques to identify root causes and recommend effective technology solutions.
  • Define key metrics and success criteria to measure the impact and effectiveness of data-driven initiatives.
  • Identify, assess, and validate data sources ensuring data quality and relevance for business needs.
  • Translate business requirements into actionable data strategies aligned with organizational objectives.
  • Develop and deliver compelling data visualizations and insights to influence stakeholders and support decision-making.
  • Mentor team members on analytical methods, data quality standards, and visualization best practices.
  • Drive continuous improvement by evaluating emerging tools and techniques in data analysis and visualization.

What you'll bring:
  • Extensive experience in data analysis, visualization, and exploratory data analysis using tools such as Python, SQL, and Tableau.
  • Strong understanding of data quality management, data strategy, and governance principles to ensure data integrity and usability.
  • Proven ability to translate complex business requirements into actionable data-driven solutions aligned with organizational objectives.
  • Expertise in applying statistical techniques and AI/ML inference to derive meaningful insights and support decision-making.
  • Demonstrated leadership in mentoring teams, managing deliverables, and driving continuous improvement in analytics practices.
  • Excellent communication skills to present data insights effectively and influence stakeholders across multiple business domains.
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 $90,000.00 - $180,000.00 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: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, 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, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau) Primary Location... 905 Customer 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

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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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