Machine Learning Engineer

Stelvio Inc.; Frisco (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Stelvio Inc. in Frisco, TX, is seeking an experienced Machine Learning Engineer to design, build and deploy production-grade ML models focusing on computer vision, edge and cloud deployment, and scalable AI-powered transportation solutions.

You will work with large-scale image and video data, leverage Vision Transformers, OpenCV and OCR, and collaborate with engineering teams to deliver robust MLOps pipelines using MLflow, Kubeflow, Docker and Kubernetes.

Qualifications

• 5+ years hands-on ML experience with a strong focus on computer vision.
• Master's degree in Computer Science, Machine Learning or a related field (PhD preferred).
• Experience deploying production ML models using MLOps tools such as MLflow, Kubeflow, Docker and Kubernetes.
• Strong knowledge of Vision Transformers, OpenCV, OCR, LLMs and RAG architectures.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, build and deploy production-grade machine learning models.
• Work with large-scale image and video datasets.
• Optimize models for edge and cloud environments.
• Collaborate with engineering teams to deliver scalable AI-powered products.

Skills

Computer vision

Deep learning

Edge & cloud deployment

MLOps

OpenCV

OCR

LLMs & RAG

Communication

Education

Master's degree in Computer Science / ML

PhD preferred

Tools

MLflow

Kubeflow

Docker

Kubernetes

Job description

Machine Learning Engineer Frisco, TX

We're looking for an experienced Machine Learning Engineer to join an innovative team developing next-generation AI solutions for intelligent transportation technology. In this role, you'll design, build and deploy production-grade machine learning models, with a focus on computer vision, deep learning, LLMs and Retrieval-Augmented Generation (RAG). You'll work with large-scale image and video datasets, optimise models for edge and cloud environments, and collaborate with engineering teams to deliver scalable AI-powered products.

What we're looking for:

• 5+ years of hands-on machine learning experience with a strong focus on computer vision.
• Master's degree in Computer Science, Machine Learning or a related field (PhD preferred).
• Experience deploying production ML models using MLOps tools such as MLflow, Kubeflow, Docker and Kubernetes.
• Strong knowledge of Vision Transformers, OpenCV, OCR, LLMs and RAG architectures.
• Excellent problem-solving and communication skills.

This is an exciting opportunity to work on cutting-edge AI technology, solving complex real-world challenges while helping shape the future of intelligent transportation systems.