Computer Vision Engineer

4 weeks ago

Delhi Delhi NCR, India Soul Ai Full time

Job Description Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India's top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community We are looking for top-tier Computer Vision (CV) Engineers with expertise in image/video processing, object detection, and generative AI. If you have experience in this field then this is your chance to collaborate with industry leaders. What's in it for you - Pay above market standards. - The role is going to be contract based with project timelines from 212 months, or freelancing. - Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be: - Remote (Highly likely). - Onsite on client location. - Deccan AI's Office Hyderabad or Bangalore. Responsibilities: - Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking. - Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX). - Build efficient computer vision pipelines and optimize models for real-time performance. - Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). - Lead MLOps practices, including CI/CD pipelines, model versioning, and training optimizations. Required Skills: - Expert in Python, OpenCV, NumPy, and deep learning architectures (e.g., ViTs, YOLO, Mask R-CNN). - Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, OpenVINO, and cloud/edge solutions. - Proficient with MLOps tools (MLflow, DVC), CI/CD, and distributed training frameworks. - Experience in 3D vision, AR/VR, or LiDAR processing is a plus. Nice to Have: - Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks. - Exposure to generative AI models (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). - Research publications or patents in computer vision and deep learning. What are the next steps - Register on our Soul AI website. - Our team will review your profile. - Clear all the screening rounds - Clear the assessments once you are shortlisted. - Profile matching and Project Allocation - Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You

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