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Ml Inference Jobs in Missouri (NOW HIRING)

AI/ML Technical Leadership * Provide hands-on technical guidance and thought leadership to multi ... Experience with GenAI, prompt engineering patterns, or large-scale inference infrastructure.

Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

You will help define success metrics, design rigorous experiments, develop scalable AI/ML systems ... Strong expertise in statistical modeling, machine learning, experimentation, causal inference, and ...

Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

You will help define success metrics, design rigorous experiments, develop scalable AI/ML systems ... Strong expertise in statistical modeling, machine learning, experimentation, causal inference, and ...

AI/ML Technical Leadership * Provide hands-on technical guidance and thought leadership to multi ... Experience with GenAI, prompt engineering patterns, or large-scale inference infrastructure.

AI/ML Technical Leadership * Provide hands-on technical guidance and thought leadership to multi ... Experience with GenAI, prompt engineering patterns, or large-scale inference infrastructure.

ML Monitoring: Experience implementing monitoring solutions to detect Data Drift and Model Decay in production. * Analytical Breadth: * Causal Inference: Ability to apply causal frameworks to ...

ML Monitoring: Experience implementing monitoring solutions to detect Data Drift and Model Decay in production. * Analytical Breadth: * Causal Inference: Ability to apply causal frameworks to ...

ML Monitoring: Experience implementing monitoring solutions to detect Data Drift and Model Decay in production. * Analytical Breadth: * Causal Inference: Ability to apply causal frameworks to ...

Showing results 41-60

Ml Inference information

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.
What are popular job titles related to Ml Inference jobs in Missouri? For Ml Inference jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Ml Inference jobs in Missouri look for? The top searched job categories for Ml Inference jobs in Missouri are:
What cities in Missouri are hiring for Ml Inference jobs? Cities in Missouri with the most Ml Inference job openings:
Infographic showing various Ml Inference job openings in Missouri as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Distinguished, Software Engineer

Walmart

Anderson, MO • On-site

$130K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,356 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Distinguished Engineer – AI & Data
Walmart Global Tech | AI & Data Organization
Position Summary
As a Distinguished Engineer in the AI & Data organization, you will serve as a senior individual contributor and technical leader responsible for shaping the long-term technical vision, architecture, and engineering excellence of our enterprise-scale AI/ML systems and platforms. You will work across teams to influence complex technical decisions, embed responsible AI foundations, and deliver scalable, resilient solutions that empower builders across Walmart.
This role goes beyond hands-on engineering — it is about driving technical strategy, architecting for scale, and mentoring technical leaders to elevate engineering standards across the organization.
What You’ll Do
Technical Vision & Architecture
  • Define and drive the technical vision for AI/ML platforms and ecosystems that operate at enterprise scale.
  • Lead architecture reviews and design principles across GenAI integrations, model serving, and intelligent pipelines.
  • Establish architectural standards for reliability, security, scalability, and performance aligned with enterprise requirements.
  • Translate complex business needs into high-impact, long-term technical roadmaps.

AI/ML Technical Leadership
  • Provide hands-on technical guidance and thought leadership to multi-team engineering and data science groups.
  • Influence AI/ML lifecycle practices, including model evaluation, deployment, monitoring, and observability.
  • Shape patterns for safe and governed AI adoption across internal platforms.
  • Lead cutting-edge prototyping and production strategies for mission-critical AI systems.

Cross–Functional Collaboration
  • Partner with product, business, UX, data science, infrastructure, and governance teams to accelerate value delivery.
  • Advocate for engineering best practices and foster alignment across diverse technology domains.
  • Influence senior stakeholders, including executives, on technical trade-offs and strategic decisions.

Engineering Excellence & Mentorship
  • Elevate engineering excellence by mentoring senior ICs, principal engineers, and emerging technical talent.
  • Champion best practices in code quality, system reliability, CI/CD pipelines, and operational maturity.
  • Sponsor and drive technical communities of practice to raise standards across AI & Data.

What You’ll Bring
Required Qualifications
  • 12+ years of experience building and operating large-scale, distributed software systems.
  • Proven track record as a senior individual contributor driving system architecture or technical strategy.
  • Deep experience with AI/ML production systems, model serving, orchestration, and performance optimization.
  • Experience with observability practices, including structured logging, metrics, traces, and debugging distributed flows across client and gateway environments.
  • Strong expertise in scalable, cloud-native design and platform engineering.
  • Demonstrated ability to influence engineers and leaders without direct managerial authority.
  • Excellent communication and technical storytelling skills, with the ability to articulate complex concepts to both technical and non-technical audiences.

Preferred Qualifications
  • Experience leading AI/ML systems or platforms in a large enterprise environment.
  • Experience with LLM tool-calling or agentic systems (e.g., structured tool invocation, schema validation, prompt/tool design, guardrails).
  • Familiarity with schema/contract frameworks (JSON Schema, OpenAPI, Pydantic, protobuf) and backward-compatible tool evolution.
  • Knowledge of responsible AI practices and governance frameworks.
  • Experience with GenAI, prompt engineering patterns, or large-scale inference infrastructure.
  • Proven mentorship and leadership across multiple engineering teams.

What You’ll Do Day-to-Day
  • Drive architectural decisions with measurable technology impact.
  • Evaluate and recommend cutting-edge technologies to solve complex AI challenges.
  • Advocate for platform performance, reliability, and cost efficiency.
  • Participate in code reviews, design sessions, and system retrospectives.
  • Mentor and elevate senior engineers and technical teams across AI & Data.

Why This Role Matters
In AI & Data, we empower teams across Walmart to rapidly innovate with AI and data at scale. The Distinguished Engineer will be a technical compass for this effort — shaping how we build, scale, and govern AI systems that serve millions of associates and customers worldwide. Your impact will extend beyond a single product or platform; it will influence Walmart’s engineering culture and technological future. 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 $130,000.00 - $260,000.00 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 6 years’ experience in software engineering or related area.
Option 2: 8 years’ experience in software engineering 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 4 years' experience in software engineering or related area, 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.

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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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