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Full Time Computer Vision Deep Learning Engineer Jobs in Kanopolis, KS

Cloud Engineer

Beverly, KS · On-site

$52.75 - $70.50/hr

By encouraging and enabling continued learning, our team members grow to achieve their personal ... Bachelor's degree in Computer Science, Information Systems, or related technical discipline * 3+ ...

Manufacturing Engineer

Salina, KS · On-site

$69K - $89K/yr

Strong technical base in 3D CAD and engineering design and analysis fundamentals * Mechanical ... Vision Insurance * Paid Time Off (PTO) * Paid Holidays * Profit Sharing Geoprobe Systems ® is an ...

Manufacturing Engineer

Salina, KS

$69K - $89K/yr

Strong technical base in 3D CAD and engineering design and analysis fundamentals * Mechanical ... Vision Insurance * Paid Time Off (PTO) * Paid Holidays * Profit Sharing Geoprobe Systems is an ...

Machine Design Engineer

Salina, KS · On-site

$72K - $97K/yr

Strong technical base in 3D CAD and engineering fundamentals * Willingness to travel * Able to work 45-hour work week Benefits * 401(k) * Health Insurance * Dental Insurance * Vision Insurance * Paid ...

Machine Design Engineer

Salina, KS

$72K - $97K/yr

Strong technical base in 3D CAD and engineering fundamentals * Willingness to travel * Able to work 45-hour work week Benefits * 401(k) * Health Insurance * Dental Insurance * Vision Insurance * Paid ...

IAT II Certification * 4 years' experience within the past 10 years in planning advanced computer ... Benefits * Healthcare (medical, dental, vision, prescription drugs) * Pet Insurance * 401(k) ...

We engineer and design solutions that improve the world around us. As a company, we promise to ... full-time employees will receive our traditional benefits package (health care, vision, dental ...

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Showing results 1-20

Full Time Computer Vision Deep Learning Engineer information

See Kanopolis, KS salary details

$44.9K

$112.4K

$127.2K

How much do full time computer vision deep learning engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for full time computer vision deep learning engineer in Kanopolis, KS is $112,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $121,600.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

What cities near Kanopolis, KS are hiring for Full Time Computer Vision Deep Learning Engineer jobs? Cities near Kanopolis, KS with the most Full Time Computer Vision Deep Learning Engineer job openings:
Infographic showing various Full Time Computer Vision Deep Learning Engineer job openings in Kanopolis, KS as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $112,414 per year, or $54 per hour.

$52.75 - $70.50/hr

Full-time

Posted 7 days ago


Job description

Cloud Engineer

Fort Leavenworth, KS


IPTA Technology Solutions (IPTA) is passionate about providing our customers with technical solutions that satisfy their business needs. Through collaborative interactions with customers, team members, subject matter experts (SMEs), technical leaders, and partners we design practical solutions that solve real problems for major government and business organizations. As a member of our Technology Solutions group, you will work with a team of technologists focused on delivering innovative business solutions using emerging technologies through proven successful methods.


Our Team:


We are looking for talented people who are enthusiastic about applying technology to deliver innovative outcomes with "fierce determination, fearless integrity, and passionate service." Our belief is that our people are the key to success. By encouraging and enabling continued learning, our team members grow to achieve their personal career goals. We are looking for:

  • Smart people with a passion for technology
  • Ability to solve challenging business problems
  • Self-directed professionals
  • Hunger to continually learn and grow

Responsibilities:

  • Building and improving the secure cloud platform that powers the Army's Data Science Environment (DSE)
  • Enabling data scientists and analytic teams to rapidly deploy AI/ML models and advanced analytics tools
  • Automating cloud infrastructure and platform services using modern DevSecOps and Infrastructure as Code practices
  • Improving reliability, scalability, and observability of enterprise data and analytics platforms
  • Supporting containerized analytic workloads used by multiple Army organizations
  • Designing secure architectures and automated compliance capabilities within DoD cloud environments
  • Helping analytic teams move faster by providing stable, automated, and secure platform services
  • Design, deploy, and maintain cloud infrastructure in Microsoft Azure and Azure Government environments
  • Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, ARM templates, or Bicep
  • Build and support CI/CD pipelines for automated infrastructure and application deployments
  • Deploy and manage containerized workloads using Docker and Kubernetes
  • Implement DevSecOps practices integrating security scanning, compliance validation, and automated testing
  • Configure monitoring, logging, and observability solutions to ensure system performance and reliability
  • Implement cloud security controls including RBAC, secure configuration baselines, and STIG compliance
  • Collaborate with software developers, data engineers, data scientists, and cybersecurity teams to support modern cloud platforms
  • Document technical solutions, architecture decisions, and operational procedures
  • Support operational reliability, incident response, and platform performance tuning


Requirements:

  • Bachelor's degree in Computer Science, Information Systems, or related technical discipline
  • 3+ years of experience in cloud engineering, infrastructure engineering, or DevOps roles
  • Experience designing and deploying solutions in Microsoft Azure
  • Experience implementing Infrastructure as Code and automated deployment pipelines
  • Familiarity with containerization technologies such as Docker or Kubernetes
  • Knowledge of secure cloud architecture and cybersecurity best practices
  • Experience working in Agile development environments
  • Active Security clearance required
  • Microsoft Azure / Azure Government
  • Infrastructure as Code (Terraform, ARM, Bicep)
  • Kubernetes and container platforms
  • CI/CD tools (GitLab, GitHub, Azure DevOps)
  • Python or PowerShell automation
  • Monitoring and observability platforms such as Azure Monitor, Prometheus, and Grafana
  • Identity and access management using Azure Active Directory


Preferred Qualifications:

  • Microsoft Azure certifications (AZ-104, AZ-305, or similar)
  • Experience working in Azure Government or other DoD cloud environments
  • Familiarity with DoD cybersecurity frameworks such as RMF and STIG implementation
  • Experience supporting enterprise data platforms, analytics environments, or AI/ML workloads

IPTA is an Equal Opportunity Employer. All employment decisions are based on individual merit, including qualifications, experience, performance, and business needs, consistent with applicable federal laws and federal contracting requirements. IPTA provides equal opportunity and utilizes merit-based principles to make employment-related decisions.


#clearance