Computer Vision Engineer

About the role

We’re looking for Computer Vision Engineers who enjoy turning challenging perception problems into reliable, production-ready solutions. You’ll work across the Computer Vision and Deep Learning stack - building and fine-tuning models, evaluating performance, optimizing inference, & integrating solutions into real-world video analytics applications.

What you'll do

• Design, build, and optimize vision algorithms and deep learning models for real-time video analytics
• Develop solutions across object detection, tracking, re-identification, pose estimation, recognition, segmentation, and anomaly detection
• Select, adapt, and fine-tune deep learning architectures based on the requirements of a specific problem and deployment environment
• Work with real-world datasets to train, evaluate, benchmark, and improve model performance
• Analyze model and inference bottlenecks across accuracy, latency, memory, throughput, and compute utilization

What you need

• 1–7 yrs of experience
• Computer vision
• Machine learning
• Deep learning
• Python
• PyTorch
• TensorFlow
• Any graduate

Good to have

• Scikit-learn
• ETL
• NumPy
• C++