AI/ML Engineer - Computer Vision

Prime Solutions Group, Inc.•Goodyear, AZ

49m•$110,000 - $180,000

About The Position

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.

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.

Nice To Haves

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.

Responsibilities

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.