Overview
Computer Vision Engineers build systems that interpret visual data — facial recognition, object detection, autonomous-vehicle perception, medical image analysis, retail analytics, manufacturing-quality inspection, AR/VR. India's CV market spans foundation-model startups (Sarvam AI, Krutrim), autonomous-vehicle teams at Tata Motors / Mahindra / Ola, defense and surveillance (DRDO, BEL), retail-tech (Flipkart, Amazon), healthcare AI (SigTuple, Niramai, Qure.ai), and manufacturing AI (Tata Consulting Engineers, L&T). The boom in robotics, drones, and edge AI has expanded entry-level opportunities.
Day-to-day responsibilities
Build and train deep-learning models for vision tasks (CNNs, transformers, segmentation, detection); curate and annotate training datasets; optimise models for edge deployment (TensorRT, OpenVINO, Core ML); benchmark accuracy and inference latency; integrate vision models with downstream applications (mobile, web, IoT); collaborate with data engineers on data pipelines; conduct error analysis and improve dataset diversity; deploy models to production with MLOps best practices; stay current with research (ICCV, CVPR, NeurIPS papers).
Skills required
- Deep learning frameworks (PyTorch, TensorFlow, JAX)
- Computer vision libraries (OpenCV, scikit-image)
- Architectures (ResNet, EfficientNet, YOLO, ViT, DETR, SAM)
- Image processing fundamentals (filtering, segmentation, registration)
- Model deployment (ONNX, TensorRT, OpenVINO, Core ML)
- Annotation tools (Labelbox, CVAT, Roboflow)
- Python and C++ proficiency
- CUDA / GPU computing
Education path
B.Tech CSE / Electronics with strong math and programming background. M.Tech / M.S. in Computer Vision, AI, or Robotics significantly accelerates entry. PhD common for research roles at top labs (IISc CV, IIT Delhi CSE, IIT Madras Robotics, IIT Bombay CSE). International M.S./PhD from CMU, Stanford, MIT, ETH for foundation-model and research-heavy roles. Self-taught entry possible via strong Kaggle / Hugging Face / GitHub portfolio.
Career progression
- 1CV Engineer (0-2 yrs)
- 2Senior CV Engineer (2-5 yrs)
- 3Staff CV Engineer (5-9 yrs)
- 4Principal CV Engineer (9-13 yrs)
- 5CV Architect / Research Lead (13+ yrs)
Top employers in India
Useful certifications
- Coursera Deep Learning Specialization
- NVIDIA Deep Learning Institute (DLI) certifications
- PyTorch / TensorFlow certifications
- NPTEL Computer Vision course
- fast.ai Practical Deep Learning