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Contractual Computer Vision Engineer Jobs in Arizona

Senior Engineer I, Mechanical Engineering

Phoenix, AZ · On-site

$103K - $137K/yr

Mechanical Engineer to design and develop advanced high precision equipment for the semiconductor ... or sensing/computer vision. * Knowledge of PLCs and control systems, including hardware and ...

Staff Engineer - Facilities BIM/CAD / VDC Location: Peoria, AZ (100% Onsite) Industry: Advanced ... Premium medical, dental, and vision coverage, 401(k) matching, generous PTO, and professional ...

Software Engineer

Tempe, AZ · On-site

$90 - $130/hr

Engineering and Technical Job Type: Full Time Working Mode: Hybrid About Us Innovation ... computer vision, and artificial intelligence. We have shaped the history of agriculture with ...

New

Design, train, and optimize deep learning and computer vision models for automated defect detection ... Collaborate with software engineers, field application teams, and domain experts to deploy and ...

We are seeking an experienced CAD Drafter to join our team in our Tempe, Arizona office Essential ... vision coverage; plus a flexible spending plan and short and long-term disability. Wilson Engineers ...

Scientist

Tucson, AZ · On-site

$80K - $130K/yr

Demonstrated experience with signal processing, image processing, and/or computer vision ... Parallel programming experience (threads, MPI, CUDA, etc.) * Active Secret Clearance The salary ...

We are currently seeking an experienced Electrical CAD Drafter to join our Tempe, Arizona office ... vision coverage; plus a flexible spending plan and short and long-term disability. Wilson Engineers ...

Founding GTM Engineer

Phoenix, AZ · On-site

$120K - $170K/yr

A former Goldman Sachs Quant and an engineer who built global-scale computer vision systems at age 19. * Engineering & Risk: Former leads and AI researchers from Stripe, Mercury, SpaceX (Ad Astra ...

Founding GTM Engineer

Phoenix, AZ · On-site

$120K - $170K/yr

A former Goldman Sachs Quant and an engineer who built global-scale computer vision systems at age 19. * Engineering & Risk: Former leads and AI researchers from Stripe, Mercury, SpaceX (Ad Astra ...

... AI/computer vision platforms. As the role evolves, you'll lead new board designs from concept ... Manage engineering change notices (ECNs), product revisions, and hardware lifecycle documentation.

... AI/computer vision platforms. As the role evolves, you'll lead new board designs from concept ... Manage engineering change notices (ECNs), product revisions, and hardware lifecycle documentation.

Showing results 41-60

Contractual Computer Vision Engineer information

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

AspectContractual Computer Vision EngineerContractual Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in computer vision frameworksBachelor's or Master's in Computer Science, Data Science, or related; strong programming and ML knowledge
Work EnvironmentProject-based, often in tech, automotive, or healthcare industriesSimilar industries, focusing on developing ML models across various applications
Employer & Industry UsageTech companies, research labs, startups focusing on image/video analysisTech firms, startups, research institutions applying ML across domains

Contractual Computer Vision Engineers specialize in developing algorithms for image and video analysis, while Contractual Machine Learning Engineers focus on building broader ML models. Both roles often share similar credentials and work environments, but their core focus areas differ, with computer vision emphasizing visual data processing.

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

The most popular types of Computer Vision Engineer jobs in Arizona are:

What job categories do people searching Contractual Computer Vision Engineer jobs in Arizona look for?

The top searched job categories for Contractual Computer Vision Engineer jobs in Arizona are:

What cities in Arizona are hiring for Contractual Computer Vision Engineer jobs?

Cities in Arizona with the most Contractual Computer Vision Engineer job openings:

Infographic showing various Contractual Computer Vision Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Machine Learning Engineer

Prime Solutions Group, Inc (PSG)

Goodyear, AZ • On-site

$110K/yr

Other

Posted 2 days ago

New


Job description

Job Type
Full-time
Description
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology.
Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you'll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent.
Position Overview
Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production-developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments.
You'll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions.
What You'll Do
  • Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment
  • Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow
  • Integrate models into production systems (APIs, batch pipelines, real-time services)
  • Implement model validation, evaluation metrics, and performance monitoring
  • Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements
  • Collaborate with data engineers and domain experts to prepare and validate datasets
  • Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments
  • Troubleshoot model and pipeline issues; perform root cause analysis and optimization
  • Contribute to technical documentation, test plans, and operational runbooks
  • Participate in design reviews, architecture discussions, and Agile development processes
  • Mentor junior engineers and promote engineering best practices

Requirements
  • U.S. Citizenship
  • Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 4+ years of experience in:
    • Machine Learning Engineering
    • Applied AI/ML development
    • Production ML systems
  • Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
  • Experience developing, training, and deploying ML models in real-world applications
  • Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring)
  • Experience building maintainable, production-quality software
  • Familiarity with Docker and cloud environments (AWS, Azure, or Google Cloud Platform)
  • Experience working in Agile and CI/CD environments
  • Strong problem-solving, communication, and collaboration skills

Preferred Qualifications
  • Master's degree in a related field
  • Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)
  • Experience transitioning models from research to production environments
  • Familiarity with experiment tracking, model versioning, and reproducibility practices
  • Experience with GPU-based ML workflows and cloud ML platforms
  • Background in defense, intelligence, or other regulated environments

Why Join PSG?
At PSG, you're not just taking a job-you're building technology that matters.
  • Competitive compensation & benefits
  • 9/80 flexible work schedule
  • Professional development & tuition assistance
  • Small, agile team with high ownership and visibility
  • Work on mission-critical systems supporting national security
  • Opportunities to grow across AI/ML, software engineering, and platform development

Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.
Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.