Lead AI Engineer

November 4

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SITE Technologies

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Technology • Pavement • PCI • Facilities • Roofing

51 - 200 employees

🤖 Artificial Intelligence

🏠 Real Estate

☁️ SaaS

Description

• SITE Technologies is seeking an experienced Lead AI Engineer to join our team, focusing on computer vision and MLOps. • The ideal candidate will have a strong background in both traditional image processing techniques and deep learning computer vision models. • Experience in deploying and managing AI models in production environments is also required.

Requirements

• 5+ years of experience in AI/ML engineering, with a focus on computer vision • Experience leading small teams and mentoring junior engineers • Strong proficiency in Python, PyTorch, OpenCV, and other computer vision libraries • Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or similar platforms • Experience with containerization (Docker) and orchestration (AWS ECS, Kubernetes) for ML workloads • Deep knowledge of AWS services relevant to ML and computer vision, such as SageMaker, EC2, S3, and Lambda • Proven 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 • 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 additional ML frameworks such as TensorFlow or JAX • Familiarity with ONNX for model interoperability and optimization • Experience with Infrastructure as Code (preferably Terraform)