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

AI/ML Developer

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