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Machine Learning Assistant Jobs in Missouri (NOW HIRING)

6AM City, LLC

Machine Learning Engineer

California, MO · On-site

$110 - $170/hr

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the deployment of MLOps processes and techniques * Assist in the development of ...

General Manufacturing

Machinist Intern

Columbia, MO · On-site

$16 - $18/hr

Learn how to operate and assist monitoring the machining process * Help hand assemble parts into our finished product. * Sandblast and deburr as needed * Assist with inventory tracking of both parts ...

General Manufacturing

Machinist Intern

Columbia, MO

$16 - $18/hr

Learn how to operate and assist monitoring the machining process * Help hand assemble parts into our finished product. * Sandblast and deburr as needed * Assist with inventory tracking of both parts ...

Jobgether

$48.50 - $64/hr

Design customer-focused AI and machine learning solutions that maximize business value and align ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Jobtailor

Data Scientist - Conversational AI

Dearborn, MO · On-site

$120 - $150/hr

Leverage Natural Language Processing (NLP) and machine learning to categorize and cluster raw user ... Act as the analytical bridge as our digital assistant expands from the Ford app into the vehicle ...

TAMKO

Manufacturing Data Scientist

Joplin, MO · On-site

Key Responsibilities: * Assist in the scoping, execution, and completion of projects that align ... Develop and deploy machine learning, predictive analytics, and prescriptive analytics, including ...

Kohl's

... and machine learning. What You'll Do * Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations * Conduct exploratory data analysis to cull ...

Nestle

Data Scientist

Saint Louis, MO · On-site

$88K - $123K/yr

Develop and deploy machine learning, statistical, and optimization models that solve business ... Experience building GenAI-enabled applications such as RAG, copilots, or intelligent assistants is ...

Nestlé S.A.

Data Scientist

Saint Louis, MO · On-site

$88 - $123/hr

Develop and deploy machine learning, statistical, and optimization models that solve business ... Experience building GenAI-enabled applications such as RAG, copilots, or intelligent assistants is ...

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All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in Missouri

Machine Learning Assistant information

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
What are the most commonly searched types of Machine Learning jobs in Missouri? The most popular types of Machine Learning jobs in Missouri are:
What are popular job titles related to Machine Learning Assistant jobs in Missouri? For Machine Learning Assistant jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Missouri look for? The top searched job categories for Machine Learning Assistant jobs in Missouri are:
What cities in Missouri are hiring for Machine Learning Assistant jobs? Cities in Missouri with the most Machine Learning Assistant job openings:
Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer 727

Freedom Technology Solutions Group

Saint Louis, MO • On-site

Full-time

Posted 22 days ago

Job description

Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.

This is a hands-on engineering position focused on moving models from research into reliable production systems.


Responsibilities:

  • Da
  • Design, train, validate, and deploy machine learning models
  • Build production inference pipelines
  • Develop feature engineering workflows
  • Optimize model performance and resource utilization
  • Implement MLOps pipelines supporting continuous integration and deployment
  • Build scalable APIs exposing AI capabilities
  • Monitor model drift and operational performance
  • Collaborate with Data Scientists and Software Engineers
  • Deploy AI workloads into AWS cloud environments
  • Support computer vision, NLP, and geospatial AI initiatives
  • Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
  • Assist in implementing integration solutions in collaboration with development team members
  • Facilitate communication between stakeholders to ensure timely and effective requirements execution
  • Ensure activities align with established processes, standards, and mission objectives
  • Contribute to documentation of processes, procedures, integration patterns, and lessons learned


Key Technologies

  •  A
  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face
  • MLflow
  • Docker/Podman
  • Kubernetes/EKS
  • ECS
  • Lambda
  • SageMaker
  • GitLab CI/CD
  • Linux
  • PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
  • Redis, Elasticache
  • GDAL, Rasterio, OGR

Required Qualifications

  • Active TS/SCI clearance (eligible for CI Poly)
  • 1-3(Junior), 3-7(Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
  • Experience working directly with customers or stakeholders in a technical or mission environment
  • Strong communication and coordination skills across technical and non-technical teams
  • Experience gathering and documenting requirements
  • Ability to manage multiple tasks and priorities in a dynamic environment
  • Familiarity with Agile development practices
  • Experience using GitLab or similar tools for collaboration and tracking


Desired Qualifications

  • Experience deploying production AI systems
  • Experience with computer vision
  • Experience with large language models
  • Geospatial AI experience
  • AWS AI services
  • Experience processing satellite imagery
  • Familiarity secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • Development or scripting experience (Python, JavaScript, or similar)
  • Geospatial/GIS development a plus
  • Experience with data mapping or integration workflows (using JSON or other object notation)
  • Familiarity with operational dashboards and metrics reporting
  • Experience supporting customer requirement implementation and/or system integration efforts

Apply