Website:
bestnanotech.in
Job details:
Senior Computer Vision Engineer
- Location: Coimbatore
- Work Mode: Onsite
- Experience: 3 – 5 Years
We are looking for a Senior Computer Vision Engineer with hands-on experience in designing, developing, and deploying computer vision solutions using deep learning. The role involves working on image and video processing pipelines, real-time systems, and scalable deployment environments. The candidate will collaborate with cross-functional teams to build and integrate production-grade vision systems.
Key Responsibilities
- Design and develop computer vision models for image and video-based applications
- Implement deep learning models for object detection, segmentation, tracking, and feature extraction
- Build and optimize end-to-end CV pipelines for real-time and batch processing
- Deploy CV models in on-premises environments and ensure system reliability
- Work with high-volume video streams and implement real-time processing solutions
- Integrate CV systems with existing infrastructure, databases, and enterprise systems
- Perform model optimization including compression and quantization
- Develop scalable solutions using containerization and orchestration tools
- Implement load balancing and scaling strategies across distributed systems
- Collaborate with MLOps teams for model versioning, experiment tracking, and CI/CD pipelines
- Ensure adherence to security best practices for model and data protection
- Support debugging, performance tuning, and production monitoring
- Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or related field
- 3–5 years of experience in computer vision and deep learning-based solutions
- Strong foundation in machine learning, deep learning, and image processing concepts
- Experience in deploying production-grade CV systems
Technical Skills
Programming & Frameworks
- Python, C++
- PyTorch, TensorFlow, Keras
Computer Vision & Deep Learning
- CNNs, RNNs, GANs
- Object Detection, Image Segmentation, Tracking
- Feature Extraction and Image Processing
Libraries & Tools
- OpenCV, scikit-image, PIL/Pillow
- Data Annotation Tools: LabelImg, CVAT, RectLabel
Systems & Deployment
- On-premises deployment of CV models
- Real-time streaming (Kafka or similar)
- Distributed systems and scaling
DevOps & MLOps
- Git, GitHub, GitLab
- Docker, Kubernetes
- Model versioning, experiment tracking, CI/CD
Optimization Techniques
- Model compression
- Quantization
Infrastructure & Integration
- Integration with enterprise systems and databases
- Load balancing and multi-machine scaling
Security
- Secure deployment practices for CV models and data
- Good to Have (Optional)
- Experience with hybrid cloud platforms (AWS, Azure, Google Cloud)
- Exposure to edge devices (NVIDIA Jetson, Intel NUC, embedded systems)
- Experience in high-throughput streaming systems (Kafka)
- Knowledge of distributed computing and large-scale CV systems
#LI-SD1
Click on Apply to know more.