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Remote Deep Learning Jobs in Arizona (NOW HIRING)

AI Engineer

Tempe, AZ ยท On-site +1

$101K - $159K/yr

... deep learning models. Ability to build and deploy MCP servers to provide LLMs with secure, standardized access to local and remote tools.. * Applicant should have experience in infrastructure ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Remote | Performance-based | Self-Employed We're seeking individuals who are ready to rise into ... You value growth, self-awareness, and learning, approaching life with both confidence and humility.

Remote Performance-based Self-Employed We're seeking individuals who are ready to rise into their ... You value growth, self-awareness, and learning, approaching life with both confidence and humility.

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Remote Deep Learning information

What is a Remote Deep Learning job?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are some common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What are popular job titles related to Remote Deep Learning jobs in Arizona? For Remote Deep Learning jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Remote Deep Learning jobs? Cities in Arizona with the most Remote Deep Learning job openings:
Infographic showing various Remote Deep Learning job openings in Arizona as of June 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution.
AI/ML Engineer - Computer Vision

AI/ML Engineer - Computer Vision

Prime Solutions Group, Inc.

Goodyear, AZ โ€ข On-site, Remote

$110K - $180K/yr

Other

Posted 15 days ago


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:ย 

  • 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. ย 

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.ย 
  • 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.ย 


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

We offer:

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

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



Salary Description

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