AI/ML Developer

Company Description

Utah Tech Labs (UTL) specializes in digital transformations, offering technology solutions that help businesses build their digital vision. By turning IT into a strategic asset, UTL enables organizations to operate as autonomous enterprises. Their expertise extends to addressing business challenges in automation, service management, and operations. UTL is driven by a forward-thinking approach to deliver sustainable innovation.

About the Role

We are looking for an experienced AI/ML Developer to join our team. The ideal candidate will have expertise in machine learning , computer vision , and AI-driven automation . The role involves applying AI models (including GPT-4 , YOLO , Vision Transformers ) for data extraction, object detection, and various types of analysis. Experience with image tagging , training YOLO models , and leading AI/ML teams is required, as well as working with tools like Roboflow , Supervisely , and cloud platforms (e.g., Google Colab , AWS , Azure ).

Key Responsibilities

• Apply computer vision techniques for object detection , segmentation , and dimension measurement to extract data from images and documents.
• Integrate AI models like YOLOv8 , YOLOv11 , and Detectron for advanced object detection and real-time analysis.
• Use machine learning techniques (e.g., regression, prediction, anomaly detection, clustering) to extract insights and improve efficiency.
• Handle image tagging for training datasets, and use tools like Roboflow and Supervisely to create and manage labeled data.
• Train YOLO models in cloud environments like Google Colab , AWS , and Azure , ensuring efficient fine-tuning and deployment.
• Lead a team of AI/ML engineers, setting guidelines and best practices for model development and deployment.
• Collaborate with cross-functional teams to ensure AI models align with business goals.
• Apply knowledge of transformers (Vision Transformers) and neural networks for visual recognition tasks.

Required Skills & Experience

• Object Detection & Segmentation : Experience with YOLOv8 , YOLOv11 , and Detectron for object detection and dimension measurement.
• Machine Learning & Deep Learning : Experience with regression , prediction , anomaly detection , and clustering .
• Image Tagging & Dataset Management : Proficient in image tagging and tools like Roboflow , Supervisely for dataset creation and management.
• AI Model Integration : Expertise in working with OpenAI's GPT models (GPT-4, GPT-5) and TensorFlow , PyTorch for model integration.
• Training YOLO Models : Experience in training YOLO models in cloud environments and fine-tuning based on project-specific requirements.
• Cloud Platforms (AWS & Azure) : Experience with AWS and Azure for model deployment, training, and infrastructure management.
• Leadership : Proven experience in leading AI/ML teams , creating workflows, and providing mentorship.

What We Offer

• Competitive compensation and performance-based growth.
• Opportunity to lead AI-driven digital transformation projects.
• A collaborative, flexible, and innovation-focused environment.
• Freedom to experiment, mentor, and shape the next generation of engineering leaders.

Industry

• Construction & Architecture : Experience applying computer vision to blueprint analysis and material estimation.
• Surveillance & Security : Expertise in using AI models for object detection and activity recognition.
• Retail Security : Applying computer vision for product tracking and customer behavior analysis.

Employment Type

Full-time