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Junior Computer Vision Jobs in Missouri (NOW HIRING)

AG Technologies

Junior JAVA Devloper

Chesterfield, MO · On-site

$300/wk

Qualifications Bachelors / Masters Degree in Technical field such as Computer Science, Computer ... Medical benefits provided - health, dental, vision insurances. Company is E-verified to get an OPT ...

AG Technologies

Junior JAVA Devloper

Chesterfield, MO · On-site

$300/wk

Qualifications Bachelors / Masters Degree in Technical field such as Computer Science, Computer ... Medical benefits provided - health, dental, vision insurances. Company is E-verified to get an OPT ...

Buzzi Unicem USA Inc.

Junior Process Engineer

Festus, MO · On-site

$90 - $120/hr

We offer a competitive salary, along with comprehensive medical, dental, and vision benefits. Plus ... Solid computer skills * Working knowledge of Environmental, Safety and Health, and company policies

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Showing results 21-40

All JobsComputer Vision JobsJunior Computer Vision JobsJunior Computer Vision Jobs in Missouri

Junior Computer Vision information

What is a junior computer vision?

Junior Computer Vision Engineers are entry-level professionals who work on developing and implementing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They typically assist in building models for tasks like object detection, image classification, and facial recognition. These engineers often work under the guidance of senior team members, helping with data preprocessing, model training, and performance evaluation. The role requires a foundation in programming, mathematics, and machine learning, as well as familiarity with libraries like OpenCV or TensorFlow.

What are the key skills and qualifications needed to thrive as a junior computer vision?

To thrive as a Junior Computer Vision Engineer, you need a solid background in mathematics, programming (especially Python or C++), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), OpenCV, and experience working with image processing libraries are commonly required. Strong problem-solving abilities, attention to detail, and the ability to communicate complex concepts clearly are valuable soft skills. These competencies are crucial for developing accurate computer vision models and collaborating effectively within multidisciplinary engineering teams.

What are some common challenges faced by junior computer vision engineers in their first year on the job?

Junior Computer Vision engineers often encounter challenges such as bridging the gap between academic knowledge and real-world application, dealing with large and noisy datasets, and optimizing models for performance and accuracy. They may also need to quickly learn new frameworks or libraries and adapt to the fast-paced development cycles typical in tech environments. Collaboration with data scientists, software engineers, and product teams is essential, so developing strong communication skills and the ability to work in interdisciplinary teams is key to success.

What is the difference between Junior Computer Vision vs Junior Machine Learning Engineer?

AspectJunior Computer VisionJunior Machine Learning Engineer
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of image processingBachelor's in CS, Data Science, or related; understanding of algorithms and data modeling
Work EnvironmentResearch labs, tech companies, AI startups focusing on image/video analysisTech firms, startups, or research centers working on predictive models and data pipelines
Employer & Industry UsageUsed in industries like robotics, surveillance, autonomous vehiclesApplied across finance, healthcare, e-commerce, and tech sectors

Junior Computer Vision roles focus on developing algorithms for image and video analysis, often requiring knowledge of computer vision libraries. Junior Machine Learning Engineers work on building predictive models across various data types. While both roles require programming skills and foundational knowledge of algorithms, their focus areas differ, with computer vision emphasizing visual data and machine learning covering broader data applications.

What are the most commonly searched types of Computer Vision jobs in Missouri?

The most popular types of Computer Vision jobs in Missouri are:

What are popular job titles related to Junior Computer Vision jobs in Missouri?

For Junior Computer Vision jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Junior Computer Vision jobs in Missouri look for?

The top searched job categories for Junior Computer Vision jobs in Missouri are:

What cities in Missouri are hiring for Junior Computer Vision jobs?

Cities in Missouri with the most Junior Computer Vision job openings:

Junior Computer Vision jobs near you
Infographic showing various Junior Computer Vision job openings in Missouri as of June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Data Scientist 728

Freedom Technology Solutions Group

Saint Louis, MO • On-site

Full-time

Re-posted 19 days ago

Job description

Freedom Technology Solutions Group is seeking a Data Scientist to support mission-critical intelligence analysis and geospatial data exploitation. You will develop analytical models, statistical methodologies, and data-driven solutions that transform large, complex datasets into actionable intelligence. Working alongside software engineers, cloud architects, and mission analysts, you will design models that improve discovery, correlation, prediction, and operational decision making across secure cloud environments. 

This is a hands-on role requiring curiosity, analytical rigor, and the ability to translate mission problems into scalable analytical solutions.

Responsibilities: 

  • Develop statistical and analytical models for structured and unstructured datasets
  • Perform exploratory data analysis and identify meaningful patterns and anomalies
  • Design feature engineering strategies for AI/ML models
  • Analyze imagery metadata, geospatial data, and operational datasets
  • Evaluate model accuracy and continuously improve performance
  • Collaborate with software engineers to operationalize analytical capabilities
  • Develop dashboards, reports, and visualizations to communicate findings
  • Document methodologies and present technical results to mission stakeholders
  • Work with cloud-native data platforms supporting secure government 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:

  • Python
  • Pandas
  • NumPy
  • SciPy
  • Jupyter
  • SQL
  • PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
  • Redis, Elasticache
  • AWS (S3, Athena, Glue, Lambda, ECS)
  • Docker
  • GitLab CI/CD
  • Linux
  • GDAL, Rasterio, OGR
  • GeoPandas
  • ArcGIS / QGIS
  • Data visualization (Plotly, Matplotlib, Tableau, Power BI)

Required Qualifications:

  • An 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 with geospatial analytics
  • Experience with imagery exploitation
  • Knowledge of machine learning
  • Understanding of cloud-native analytics
  • Intelligence Community experience
  • Experience working with large-scale operational datasets
  • AWS services
  • Experience processing satellite imagery
  • Familiarity secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • 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