Top 131 cloud Jobs in buckeye az

AI/ML Engineer - Computer Vision
Prime Solutions Group, Inc. —Goodyear, AZ
- $110,000 - $180,000 a year
- Full-time
- Azure
- Computer Science
- AWS
Quick Apply
2d
IT Specialist
GARDAWORLD FEDERAL SERVICES LLC —Surprise, AZ
- $38.50 an hour
- Weekends as needed
- Background check
- Google Workspace
- Pass drug screening
Quick Apply
14d
Data Center Technician, DCC Communities
Amazon Data Services, Inc. —Avondale, AZ
- $27 - $48 an hour
- 8 hour shift
- Computer Science
- Up to 50% travel
- Mid-level
- Employee assistance program
- 401(k) matching
Network Deploy Technician, Infra - GND
Amazon Web Services, Inc. —Avondale, AZ
- $27 - $48 an hour
- Full-time
- Mid-level
- High school diploma or GED
- Driver's License
- Employee assistance program
- 401(k) matching
10d
Network Deployment Technician, GND-NASA-Deploy
Amazon Data Services, Inc. —Avondale, AZ
- $27 - $48 an hour
- Full-time
- Up to 50% travel
- Mid-level
- High school diploma or GED
- Employee assistance program
- 401(k) matching
9d
Information Systems Technician
TRANSPORTATION RESEARCH CENTER INC. —Surprise, AZ
- Computer Science
- Mid-level
- Office
8d
Senior Machine Learning Engineer
Prime Solutions Group, Inc. —Goodyear, AZ
- $110,000 - $180,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Tuition reimbursement
- Flexible schedule
Quick Apply
Data Center Manager (Night Shift)
Amazon Data Services, Inc. —Avondale, AZ
- $78,400 - $137,300 a year
- Full-time
- Computer science
- Computer Science
- Up to 50% travel
- AD&D insurance
- Health insurance
Network Deployment Lead, DCC Communities
Amazon Data Services, Inc. —Avondale, AZ
- $30 - $54 an hour
- Full-time
- Computer science
- Computer Science
- Up to 50% travel
- AD&D insurance
- Health insurance
Backend Software Engineer
ASSA ABLOY —Phoenix, AZ
- Azure
- Mid-level
- Office
- Paid holidays
- Tuition reimbursement
IT System Administrator - State Farm Stadium
Legends Global —Glendale, AZ
- Full-time
- Computer science
- Computer Science
- Mid-level
- Disability insurance
- Health insurance
Software Engineer
Connexta —Phoenix, AZ
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Quick Apply
Specialist II, IT Infrastructure
LG Energy Solution Michigan, Inc. —Phoenix, AZ
- Full-time
- Computer Science
- Writing skills
- English
Quick Apply
Data Center Manager (Night Shift), AWS Opportunity for Military Community
Amazon Data Services, Inc. —Avondale, AZ
- $78,400 - $137,300 a year
- Full-time
- Computer science
- Computer Science
- Up to 50% travel
- AD&D insurance
- Health insurance
Solution Architect
LA MESA RV INC —Phoenix, AZ
- Full-time
- Azure
- Computer Science
- 8 years
- Health insurance
- 401(k)
Quick Apply
Security Engineer III
Akumin —Phoenix, AZ
- Full-time
- Computer science
- Azure
- Computer Science
Quick Apply
Technical Lead
Tata Consultancy Services —Peoria, AZ
- $100,000 - $135,000 a year
- Computer Science
- System design
- Bachelor's degree
Analyst, Enterprise Service Desk
ABACUS —Phoenix, AZ
- On call
- Mid-level
- Associate's degree
- 2 years
Quick Apply
NW Deployment Build Mgr I, DCC Communities
Amazon Data Services, Inc. —Avondale, AZ
- $78,400 - $137,300 a year
- Full-time
- Computer science
- Computer Science
- Driver's License
- AD&D insurance
- Health insurance
9d
Client Technology Staging Associate
ABACUS —Phoenix, AZ
- Azure
- Mid-level
- Scripting
Quick Apply
3d

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AI/ML Engineer - Computer Vision

Prime Solutions Group, Inc. -
Goodyear, AZ

Quick Apply

Job Details

Full-time
$110,000 - $180,000 a year
2 days ago

Qualifications

AI models
Performance tuning
Software engineering
Image processing
Engineering development testing
Performance optimization
Computer vision
Git
AI platforms (beyond public GPTs)
Computational framework
Classification analysis
Production systems
Machine intelligence
Computer vision research
Object detection
CNN
Developing large-scale AI models
Improving predictive model accuracy
Software testing
System development
Model training
Neural networks
Image classification
Model evaluation
Machine learning frameworks

Full Job Description

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 Description:

Develop AI-Powered Computer Vision Solutions for Real-World Mission Applications

Prime Solutions Group (PSG), Inc. is seeking an experienced AI/ML Computer Vision Engineer to design, develop, and deploy advanced computer vision and machine learning solutions supporting mission-critical national security programs.

In this role, you will work at the forefront of artificial intelligence, applying state-of-the-art deep learning techniques to challenging real-world problems involving image, video, and sensor data. You will be responsible for developing and optimizing machine learning models, conducting experimentation, improving model performance, and transitioning AI capabilities into operational environments.

This position is ideal for engineers who enjoy solving complex technical challenges, working with large-scale datasets, and turning cutting-edge research into production-ready solutions.

Responsibilities include:

Design, develop, train, and deploy machine learning and computer vision models for real-world mission applications.
Build and optimize deep learning architectures, including CNNs, Vision Transformers (ViTs), and hybrid AI/ML models.
Perform hyperparameter tuning, model optimization, and performance evaluation to improve accuracy, robustness, and efficiency.
Develop and maintain training, validation, testing, and inference pipelines for AI/ML systems.
Analyze model performance, identify failure modes, and implement improvements to increase reliability and generalization.
Work with large image, video, and sensor datasets to support object detection, classification, segmentation, tracking, and anomaly detection tasks.
Collaborate with software engineers and MLOps teams to integrate models into production environments.
Evaluate emerging AI technologies and recommend new approaches that improve mission outcomes.
Create technical documentation, experiment reports, and performance assessments.
Support technical reviews, customer briefings, and cross-functional engineering efforts.

Requirements:

U.S. Citizenship
Active Top-Secret Clearance with eligibility to obtain an SCI with CI Poly
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
4+ years of experience developing AI/ML solutions in production, research, or applied engineering environments.
Proven experience delivering models using Python and ML frameworks (TensorFlow, PyTorch, Keras, etc.).
Experience training and evaluating machine learning models using large datasets.
Experience developing and training computer vision models using deep learning techniques.
Familiarity with CNNs, Vision Transformers, object detection, classification, and segmentation.
Experience with model tuning, hyperparameter optimization, and performance evaluation.
Strong understanding of computer vision fundamentals and image analysis techniques.
Ability to improve model accuracy, robustness, and operational performance.
Familiarity with software engineering best practices, Git, and collaborative development workflows.

Preferred Skills or Experience:

Experience with generative AI technologies, including diffusion models and image generation systems.
Familiarity with Vision-Language Models (VLMs), multimodal AI, Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG).
Experience with object tracking, multi-object tracking, or video analytics.
Experience applying computer vision techniques to imagery, remote sensing, or sensor-based data.
Familiarity with reinforcement learning or autonomous systems.
Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Airflow, and CI/CD pipelines.
Experience deploying AI/ML solutions in AWS, Azure, or Google Cloud environments.
Experience supporting defense, intelligence, aerospace, or other mission-critical programs.

Why Join PSG?

At PSG, you'll work on challenging AI problems that directly support national security missions. You'll have the opportunity to collaborate with highly skilled engineers and researchers while helping shape the next generation of intelligent sensing, computer vision, and AI-enabled systems.

We offer:

Competitive compensation and benefits
Professional development and tuition assistance
Flexible and collaborative engineering culture
Exposure to cutting-edge AI/ML technologies
Direct impact on mission-critical programs
Opportunities to grow into technical leadership roles

Bring your passion for AI, computer vision, and machine learning to PSG and help build the next generation of intelligent mission systems.

Salary Description

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs

Quick Apply

Refine Your Search

cloud jobs in buckeye az

AI/ML Engineer - Computer Vision

IT Specialist

Data Center Technician, DCC Communities

Network Deploy Technician, Infra - GND

Network Deployment Technician, GND-NASA-Deploy

Information Systems Technician

Senior Machine Learning Engineer

Data Center Manager (Night Shift)

Network Deployment Lead, DCC Communities

Backend Software Engineer

IT System Administrator - State Farm Stadium

Software Engineer

Specialist II, IT Infrastructure

Data Center Manager (Night Shift), AWS Opportunity for Military Community

Solution Architect

Security Engineer III

Technical Lead

Analyst, Enterprise Service Desk

NW Deployment Build Mgr I, DCC Communities

Client Technology Staging Associate

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