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Machine Learning Engineer Jobs in Saint Joseph, MO

Varsity Tutors

Python Tutor

Kansas City, MO · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Pwc

ERP AI Engineer - Manager

Kansas City, MO · On-site

$99K - $232K/yr

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

Varsity Tutors

Linear Algebra Tutor

Kansas City, MO · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Saint Joseph, MO

Machine Learning Engineer information

See Saint Joseph, MO salary details

$30.4K

$124.4K

$187K

How much do machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning engineer in Saint Joseph, MO is $124,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $149,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Saint Joseph, MO? The most popular types of Machine Learning Engineer jobs in Saint Joseph, MO are:
What job categories do people searching Machine Learning Engineer jobs in Saint Joseph, MO look for? The top searched job categories for Machine Learning Engineer jobs in Saint Joseph, MO are:
What cities near Saint Joseph, MO are hiring for Machine Learning Engineer jobs? Cities near Saint Joseph, MO with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Saint Joseph, MO as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,434 per year, or $59.8 per hour.

AI Solutions Engineer - ERP Systems

Federal Reserve Bank of Richmond

Kansas City, MO

Full-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago

Job description

CompanyFederal Reserve Bank of RichmondWhen you join the Federal Reserve-the nation's central bank-you'll play a key role, collaborating with a dynamic and diverse team of mission-driven professionals to strengthen and protect our economy and our communities.
Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life. In addition to competitive compensation, we offer a comprehensive benefits package that includes tuition assistance, generous paid time off, top-notch health care benefits, child and family care leave, professional development opportunities, a 401(k) match, pension, and more. All brought together in a flexible work environment where you can truly find balance.
Onsite presence is required.

About the Opportunity

The Enterprise Resources Planning department has an immediate opening for an AI Solutions Engineer, reporting to Senior Manager - Product Manager.

The Enterprise Resource Planning (ERP) Support Office seeks an AI Solutions Engineer with Cloud experience to bring AI innovation across our enterprise while building the Platform-as-a-Service (PaaS) foundation that enables it. This is a ground-floor opportunity to be a part of driving how AI transforms HR, finance, and procurement-while establishing the cloud platform capabilities needed to scale those solutions.

You'll begin by deploying and configuring native AI features within ERP vendor platforms (intelligent agents, assistants, automation), then progressively build the platform capabilities needed for custom AI applications, advanced integrations, and end-to-end automation solutions that connect across the enterprise. Your cloud engineering experience will be instrumental in developing deployment pipelines and engineering processes as we mature our PaaS capabilities.

This is a fully onsite position located in Richmond, Boston and Kansas District location.

What You Will Do:

  • Translate business and operational challenges into practical AI opportunities and technical solutions

  • Deploy and configure AI capabilities in ERP platforms and products such as Workday and SAP Ariba (AI agents, assistants, automation features)

  • Build custom AI solutions including intelligent agents, chatbots and automation leveraging Gen AI and LLMs as platform maturity increases

  • Define and document technical specifications for deploying ERP and AI solutions and capabilities.

  • Lead AI projects from concept to production, ensuring business alignment and measurable ROI

  • Enable PaaS environments within Workday and SAP to support AI deployments and future custom development

  • Help develop deployment pipelines and engineering processes as we establish PaaS services, bringing your cloud engineering expertise

  • Configure and integrate platform services, security, and governance with corporate cloud computing services and other business systems

  • Assess emerging technologies and recommend adoption approaches, contributing to the ERP technology roadmap

  • Evaluate vendor AI capabilities versus custom solutions based on requirements and total cost of ownership

  • Champion AI literacy through training, demonstrations, and knowledge sharing across the organization

  • Provide production support and knowledge training for solutions you deploy

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field

  • 10+ years in IT/software engineering with hands-on experience in corporate/industry environments

  • Proven track record deploying AI solutions to production in corporate settings (traditional AI, Gen AI, or agentic AI)

  • 3+ years with enterprise cloud platforms (Workday, SAP, Oracle, Salesforce, or similar) in technical or configuration capacity

  • Strong communication skills to explain complex or technical concepts to non-technical stakeholders, especially with regards to AI solutions

  • Experience with deployment pipelines, CI/CD, or DevOps practices

  • Hands-on experience deploying AI/ML solutions including Machine Learning, Gen AI, LLMs, AI agents, or chatbots to production

  • Platform configuration expertise with enterprise SaaS/PaaS systems or experience with IaaS environments

  • Integration skills: RESTful APIs, webhooks, data flows, authentication (OAuth, SAML)

  • Data management: SQL, data pipelines, data quality assessment

  • Programming proficiency in Python

Preferred Qualifications

  • Hands-on experience with Workday AI, SAP AI capabilities, or similar vendor-embedded AI

  • Knowledge or experience with Workday Extend, SAP BTP, or similar platforms for custom development

  • Process workflow automation knowledge/experience

  • DevOps/MLOps experience building CI/CD pipelines and automation frameworks

  • Cloud platform experience (AWS, Azure, GCP) and AI/ML services and frameworks

  • Domain knowledge in HR, finance, or procurement

  • AI/ML or cloud certifications

Discover the Reason Why So Many People Love It Here!

When you join the Richmond Fed, not only will you find a challenging and purposeful career, you'll also have access to a wide range of benefits and perks that support your health and wealth, including:

  • Great medical benefits

  • Pension and 401(k) with employer match

  • Paid time off

  • Tuition reimbursement

  • Paid volunteer leave

  • Onsite amenities that make working here fun!

Other Requirements and Considerations:

  • Candidates should review the Bank's Employee Code of Conduct to ensure compliance with conflict of interest rules and personal investment restrictions.

  • If you need assistance or an accommodation due to a disability, please notify rich.recruit@rich.frb.org.

  • Sponsorship is not available for this role. The selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Eligibility for this specific position requires U.S. Citizenship.

  • The hiring salary range is $133,000 - $183,000 annually.

  • For candidates located outside of Richmond, VA, the listed hiring and salary ranges may be adjusted based on your geographic location.

  • Salary offered will be based on the job responsibilities and the individual's knowledge, skills, and experience as defined in the job qualifications.

  • Applications are reviewed on a rolling basis.

  • Always verify and apply to jobs on Federal Reserve System Careers or through verified Federal Reserve Bank social media channels.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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