What you’ll do
- Train and evaluate detection, segmentation and tracking models
- Design labeling guidelines and quality checks with the annotation team
- Optimise models for edge devices and real-time inference
- Build data pipelines for images, video and sensor data
- Report model performance clearly to clients
What you’ll bring
- Strong Python with PyTorch and OpenCV
- Experience with modern detection or segmentation architectures
- Understanding of dataset quality, augmentation and evaluation metrics
- Experience with video or multi-sensor data
- Comfortable with Linux and GPU training workflows
Nice to have
- ONNX, TensorRT or edge deployment
- LiDAR or 3D point clouds
- Robotics or autonomous systems
Why Brandsmashers
Real products for startups and enterprises worldwide, modern stacks with no legacy baggage, and a team that values output over hours. Expect sponsored certifications, tech talks and hackathons, health coverage and wellness days, flexible timings and early ownership of what you build.
See life at Brandsmashers →