Senior Computer Vision Engineer
Tasks
- Build AI/ML pipelines
- Create technical documentation
- Deploy and manage AI workloads
- Design computer vision models for production environments
- Develop low latency inference services
- Implement MLOps tooling and best practices
- Improve model performance and inference efficiency
- Integrate AI services with micro services
- Process real time video streams
- Set up monitoring logging observability
Perks/Benefits
- Life assurance
- Local discounts
- Lunch allowance
- Paid time off
- Parking
- Private medical insurance
- Team building opportunities
- Wellness allowance
Skills/Tech-stack
API Integration | AWS | Alerting | Anomaly Detection | Azure | Computer Vision | Deep learning | Distributed Systems | Docker | GCP | Kubernetes | Logging | Low Latency | Low Latency Inference | MLOps | Machine Learning | Microservices | Model Monitoring | Model retraining | Monitoring | OCR | Object Detection | Observability | OpenCV | Optical character recognition | PyTorch | Python | Real Time | Real-time Video | Real-time video processing | Streaming | TensorFlow | Video Processing
Education
N/A
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