AI/ML Solutions Engineer

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