We are seeking India's top 1% Computer Vision Engineers to join an elite community of professionals solving complex AI challenges. If you're passionate about cutting-edge vision systems, generative AI, and real-time model optimization, this is your opportunity to collaborate with industry leaders and shape the future of intelligent systems.
Who Should Apply
Engineers with deep expertise in:
- Image and video processing, object detection, segmentation, and tracking
- Generative AI models (e.g., GANs, Stable Diffusion)
- Real-time model deployment and optimization for cloud and edge
Key Responsibilities
- Develop and optimize computer vision models for tasks like object detection, segmentation, and multi-object tracking
- Lead research on novel techniques using TensorFlow, PyTorch, or JAX
- Build efficient vision pipelines and optimize models for real-time performance
- Deploy models via microservices (Docker, Kubernetes) on AWS, GCP, or Azure
- Lead MLOps practices including CI/CD, model versioning, and distributed training
Required Skills
- Expert in Python, OpenCV, NumPy, and deep learning architectures (ViTs, YOLO, Mask R-CNN)
- Strong foundation in computer vision fundamentals, feature extraction, and multi-view geometry
- Experience with TensorRT, OpenVINO, and cloud/edge deployment
- Proficient in MLOps tools (MLflow, DVC), CI/CD, and distributed training frameworks
Nice to Have
- Experience with multi-camera systems, LiDAR, sensor fusion, or reinforcement learning
- Familiarity with large-scale image processing (Apache Spark, Dask)
- Research publications or patents in computer vision or deep learning
Why Join Us
- Pay above market standards
- Flexible contract durations (212 months)
- Remote-first with optional onsite roles
- Be part of an elite engineering community solving real-world AI problems
