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Artificial Intelligence Machine Learning Engineer Jobs in Springfield, MO

Bass Pro Shops

Lead Engineer AI/ML - Onsite

Springfield, MO · On-site

$93K - $122K/yr

Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related technical field, or ...

U.S. Navy

Linguist

Battlefield, MO

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

New

U.S. Navy

Linguist

Republic, MO

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

New

U.S. Navy

Linguist

Rogersville, MO

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

New

U.S. Navy

Linguist

Buffalo, MO

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

New

U.S. Navy

Linguist

Willard, MO

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

New

U.S. Navy

Cryptologic Technician Interpretive

Ava, MO

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

New

U.S. Navy

Linguist

Billings, MO

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

New

U.S. Navy

Linguist

Forsyth, MO

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

New

U.S. Navy

Linguist

Fair Grove, MO

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Springfield, MO

Artificial Intelligence Machine Learning Engineer information

See Springfield, MO salary details

$28.7K

$117.1K

$176K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for artificial intelligence machine learning engineer in Springfield, MO is $117,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $141,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What cities near Springfield, MO are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Springfield, MO with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Springfield, MO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $117,132 per year, or $56.3 per hour.

Lead Engineer AI/ML - Onsite

Bass Pro Shops

Springfield, MO • On-site

$93K - $122K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Bass Pro Shops rating

6.4

Company rating: 6.4 out of 10

Based on 439 frontline employees who took The Breakroom Quiz

16th of 39 rated national retailers

Job description

We are seeking a Machine Learning Engineer to join the Information Technology organization at our corporate office in Springfield, MO.
The Machine Learning Engineer designs, builds, tests, and optimizes machine learning systems that support enterprise AI initiatives across the business. This role is responsible for developing production-ready model code, inference logic, and reusable ML components that convert approved enterprise data into reliable operational signals, recommendations, automations, or insights.
This position works closely with AI leadership, Data Science, MLOps, Data Engineering, Product/Delivery, Security, Privacy, Store Operations, Merchandising, and other cross-functional partners to implement practical AI solutions. The role must balance model quality, latency, cost, privacy, maintainability, and operational usefulness.
This position requires working onsite in our Springfield, MO headquarters. Occasional travel to field locations may be required.
ESSENTIAL FUNCTIONS:
  • Design, develop, and evaluate machine learning models and inference pipelines for enterprise AI use cases across retail, operations, merchandising, customer experience, supply chain, and corporate functions.
  • Build production-quality Python code for model training, evaluation, preprocessing, postprocessing, inference services, and reusable model components.
  • Partner with Data Scientists to define ground truth datasets, labeling requirements, evaluation metrics, confidence thresholds, and acceptable error tradeoffs.
  • Partner with MLOps / Cloud ML Engineering to package, register, deploy, monitor, and optimize models in cloud, edge, or hybrid environments.
  • Evaluate and select model architectures, pretrained models, fine-tuning approaches, and inference strategies appropriate for the business problem and operating environment.
  • Prepare and transform approved structured and unstructured data for model development while following privacy, retention, and acceptable-use constraints.
  • Build or integrate data labeling, sampling, augmentation, and validation workflows needed for model development and evaluation.
  • Optimize inference performance for latency, cost, throughput, reliability, and deployment target.
  • Implement model output schemas and event metadata structures in partnership with Data Engineering and API/application teams.
  • Integrate model outputs with APIs, event streams, dashboards, reports, applications, or other approved enterprise presentation layers.
  • Write automated tests for model code, preprocessing logic, inference services, schema contracts, and regression checks.
  • Troubleshoot model failures caused by data quality, domain shift, operational changes, drift, or degraded source data.
  • Document model assumptions, limitations, dependencies, reproducibility steps, evaluation results, and production readiness criteria.
  • Support responsible AI practices, including PII minimization, privacy-aware design, model explainability where practical, and secure handling of approved enterprise data.
  • Contribute to architecture decision records, model cards, technical runbooks, documentation, and reusable engineering standards.
  • ALL OTHER DUTIES AS ASSIGNED.

EXPERIENCE/QUALIFICATIONS:
Minimum Degree Required: Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related technical field, or equivalent experience.
  • 8+ years of experience in software engineering, machine learning engineering, applied AI engineering, or production ML systems.
  • 5+ years of hands-on experience building, training, fine-tuning, or deploying machine learning models in applied business environments.
  • Strong proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, OpenCV, or equivalent tools.
  • Experience with one or more ML domains such as natural language processing, forecasting, classification, recommendation systems, optimization, anomaly detection, multimodal AI, or generative AI.
  • Experience building production-quality APIs, services, or batch/streaming inference components.
  • Experience with Git, automated testing, code review, containerization, and collaborative engineering practices.
  • Familiarity with model optimization and deployment formats or tooling such as ONNX, TensorRT, OpenVINO, quantization, batching, or similar techniques preferred.
  • Familiarity with Azure Machine Learning, Azure AI services, Databricks, MLflow, or equivalent cloud ML platforms preferred.
  • Familiarity with event-driven architectures, REST APIs, message queues, data lakes, and metadata/event pipelines preferred.
  • Experience with distributed inference, real-time AI systems, high-throughput event processing, or enterprise integration patterns preferred.
  • Experience working with security, privacy, and governance requirements for sensitive operational data preferred.

KNOWLEDGE, SKILLS, AND ABILITY:
  • Strong software engineering fundamentals and ability to build maintainable ML systems beyond notebooks.
  • Strong understanding of the machine learning lifecycle, including data preparation, training, evaluation, deployment, monitoring, and retraining.
  • Strong understanding of model failure modes in real-world environments.
  • Ability to make practical model tradeoffs across accuracy, latency, cost, privacy, reliability, and maintainability.
  • Ability to translate business use cases into technical model requirements without over-scoping the solution.
  • Ability to collaborate effectively with Data Scientists, MLOps Engineers, Data Engineers, platform teams, and business stakeholders.
  • Ability to document model behavior and limitations clearly for both technical and nontechnical audiences.
  • Proficiency with Git-based development workflows and Agile delivery practices.
  • Commitment to responsible and ethical AI development aligned with company standards.

TRAVEL REQUIREMENTS:
Occasional travel, up to 10%, may be required for field observation, technical validation, troubleshooting, or stakeholder workshops.
PHYSICAL REQUIREMENTS:
Regularly completes computer work and sits.
Occasionally walks and stands.
Seldomly or never lifts up to 50lbs.
INDEPENDENT JUDGEMENT:
Performs duties within scope of general company policies, procedures, and objectives. Analyzes problems and performs needs assessments. Uses judgment in adapting broad guidelines to achieve desired result. Regular exercise of independent judgment within accepted practices. Makes recommendations that affect policies, procedures, and practices.
Full Time Benefits Summary:
Enjoy discounts on retail merchandise, our restaurants, world-class resorts and conservation attractions!
  • Medical
  • Dental
  • Vision
  • Health Savings Account
  • Flexible Spending Account
  • Voluntary benefits
  • 401k Retirement Savings
  • Paid holidays
  • Paid vacation
  • Paid sick time
  • Bass Pro Cares Fund
  • And more!

Bass Pro Shops is an equal opportunity employer. Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.
Reasonable Accommodations
Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.
If you need a reasonable accommodation for any part of the application process, please visit your nearest location or contact us at hrcompliance@basspro.com.
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