November 4
β’ SITE Technologies is seeking an experienced Lead AI Engineer to join our team, focusing on computer vision and MLOps. β’ The ideal candidate will have a strong background in both traditional image processing techniques and deep learning computer vision models. β’ Experience in deploying and managing AI models in production environments is also required.
β’ 5+ years of experience in AI/ML engineering, with a focus on computer vision β’ Experience leading small teams and mentoring junior engineers β’ Strong proficiency in Python, PyTorch, OpenCV, and other computer vision libraries β’ Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or similar platforms β’ Experience with containerization (Docker) and orchestration (AWS ECS, Kubernetes) for ML workloads β’ Deep knowledge of AWS services relevant to ML and computer vision, such as SageMaker, EC2, S3, and Lambda β’ Proven experience with data annotation for computer vision tasks, including use of open-source tools or commercial solutions in a professional environment β’ Experience with version control systems (e.g., Git) and collaborative development workflows β’ Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders β’ Advanced degree (M.S. or Ph.D.) in Computer Science, Machine Learning, or a related field β’ Contributions to open-source projects or research publications in computer vision or MLOps β’ Publications in peer-reviewed journals or conferences in the fields of computer vision, machine learning, or related areas β’ Experience with additional ML frameworks such as TensorFlow or JAX β’ Familiarity with ONNX for model interoperability and optimization β’ Experience with Infrastructure as Code (preferably Terraform)
Apply NowOctober 31
11 - 50
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