Demo

Senior AI Engineer - Computer Vision

SITE Technologies
Chicago, IL Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 6/2/2025

Job Description

Job Description

Description :

We are seeking a Senior AI Engineer to join our team, focusing on computer vision. The ideal candidate will have a strong background in both traditional image processing techniques and deep learning computer vision models, as well as experience in deploying and managing AI models in production environments.

Requirements :

  • Design and implement computer vision solutions using both traditional image processing approaches and modern deep learning models
  • Deploy AI models as both long-running processing jobs and low-latency endpoints, following MLOps best practices
  • Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows
  • Create PoC that applies the latest advancements in computer vision in SITE’s use cases.
  • 3 years of experience in AI / ML engineering, with a focus on computer vision
  • Strong proficiency in Python, PyTorch, OpenCV, and other computer vision libraries
  • Proven experience of creating computer vision solutions beyond proof of concept and academic projects
  • Knowledge of AWS services relevant to ML and computer vision, such as SageMaker, EC2, S3, and Lambda
  • Experience with data annotation for computer vision tasks, including use of open-source tools or commercial solutions in a professional environment
  • Experience with version control systems (e.g., Git) and collaborative development workflows
  • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Preferred Qualifications

  • Advanced degree (M.S. or Ph.D.) in Computer Science, Machine Learning, or a related field
  • Contributions to open-source projects or research publications in computer vision or MLOps
  • Publications in peer-reviewed journals or conferences in the fields of computer vision, machine learning, or related areas
  • Experience with 3D data and / or geospatial data
  • Experience with containerization (Docker) and orchestration (AWS ECS, Kubernetes) for ML workloads
  • Experience with Infrastructure as Code (preferably Terraform)
  • Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or similar platforms
  • Familiarity with ONNX for model interoperability and optimization
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