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Machine Learning Engineer Associate Jobs in Arkansas

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Machine Learning Engineer Associate information

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are the most commonly searched types of Machine Learning Engineer jobs in Arkansas?

The most popular types of Machine Learning Engineer jobs in Arkansas are:

What are popular job titles related to Machine Learning Engineer Associate jobs in Arkansas?

For Machine Learning Engineer Associate jobs in Arkansas, the most frequently searched job titles are:

What cities in Arkansas are hiring for Machine Learning Engineer Associate jobs?

Cities in Arkansas with the most Machine Learning Engineer Associate job openings:

(USA) Senior, Machine Learning Engineer

Walmart

Pea Ridge, AR • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,476 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML solutions that address complex business challenges. This role involves collaborating with cross-functional teams to help implement, test, and maintain ML models and pipelines while ensuring compliance with security and governance standards. The successful candidate will lead technical efforts across the ML lifecycle, including feature engineering, model evaluation, deployment, and monitoring. They will also drive innovation, and uphold high standards of quality and integrity to support Walmart’s mission of delivering value to customers and stakeholders.
About the team:
The Walmart team combines expertise in data science and computer vision to drive innovation with a strong emphasis on safety and security. They focus on fraud prevention, threat detection, and digital risk management while supporting cloud transformation efforts. Leveraging advanced analytics and data-driven insights, the team enhances decision-making and operational reliability. Collaboration and continuous improvement are central to their approach, fostering a culture committed to accuracy, security, and sustainable growth across the organization. This team plays a key role in maintaining a secure environment and stakeholder confidence through technical excellence and innovation.
What you'll do:
  • Collaborate with CV scientists, data scientists, and product teams to deliver machine learning pipelines and model integrations.
  • Design and develop scalable ML systems using appropriate algorithms and frameworks.
  • Implement, test, and support ML services, APIs, and data pipelines ensuring quality and reliability.
  • Apply MLOps practices including CI/CD, model versioning, and automated retraining for sustained performance.
  • Conduct rigorous model evaluation, monitoring, and maintenance to address drift and performance issues.
  • Mentor team members on coding standards, pipeline best practices, and model evaluation techniques.
  • Ensure ML solutions comply with security, privacy, and enterprise governance standards.
  • Participate in technical discussions to enhance system scalability, maintainability, and compliance.

What you'll bring:
  • Proven expertise in designing, developing, and deploying scalable machine learning pipelines using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Strong proficiency in programming languages including Python, SQL, Java, C++, or R for production-ready ML applications.
  • Experience with MLOps practices including CI/CD, model versioning, automated retraining, and telemetry to ensure model reliability and performance.
  • Ability to implement secure, compliant ML pipelines adhering to enterprise AI governance standards.
  • Skilled in model evaluation, hyperparameter optimization, and monitoring to maintain accuracy and performance.
  • Demonstrated technical leadership, mentoring, and collaboration across cross-functional teams.
  • Familiarity with cloud-native architectures and platform design for ML solutions, NVidia Deepstream architecture is a plus.
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: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering, machine learning engineering, AI systems or related area.
Option 2: 5 years’ experience in software engineering, machine learning engineering, AI systems or related area. Preferred Qualifications...

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

Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 1 years' experience in software engineering, machine learning engineering, AI systems or related area., Prior work experience in accessibility best practices., Prior work experience 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. Primary Location... 805 Se Moberly Ln., Bentonville, AR 72712, 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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Benefits

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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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