Advanced Computer Vision Expert
2 days ago
We are seeking a highly skilled Senior AI Engineer to join our team at SITE Technologies. This individual will be responsible for designing and implementing computer vision solutions using both traditional image processing approaches and modern deep learning models.
Key Responsibilities- Design and implement computer vision solutions with a focus on computer vision and deep learning models.
- Deploy AI models as long-running processing jobs and low-latency endpoints, adhering to MLOps best practices.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.
- Create proof-of-concepts (PoCs) that apply the latest advancements in computer vision to SITE's use cases.
- A minimum of 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 in creating computer vision solutions beyond proof-of-concept and academic projects.
- Familiarity with AWS services relevant to ML and computer vision, such as SageMaker, EC2, S3, and Lambda.
- Experience with data annotation for computer vision tasks, including the 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.
- An 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.
SITE Technologies offers a competitive salary range of $150,000 - $200,000 per year, depending on experience.
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