Key Responsibilities:
Develop and deploy sophisticated computer vision models for tasks including object detection, image classification, segmentation, OCR, and real-time video analytics.
Manage large-scale datasets by overseeing collection, annotation strategies, cleaning, and data augmentation to ensure high-quality model training.
Architect and optimize deep learning frameworks such as CNNs, Vision Transformers, GANs, and YOLO for production-ready settings.
Collaborate with cross-functional engineering, product, and MLOps teams to integrate vision models into end to-end production pipelines.
Enhance model performance and scalability through quantization, pruning, and conversion for edge deployment using ONNX or TensorRT.
Execute rigorous experiments and statistical analyses, including A/B testing, to validate model accuracy and assess business outcomes.




Keep abreast of state-of-the-art research in computer vision and deep learning to identify and implement creative solutions for business problems.
Mentor junior scientists and establish best practices for robust model development, evaluation, and documentation.
Partner with data engineering to build high-performance, scalable data pipelines tailored for vision workloads.

Required Skills & Qualifications
7+ years of professional experience in Machine Learning with a specialization in Computer Vision.
Advanced degree (Master's or Ph.D. preferred) in Computer Science, Electrical Engineering, or a related quantitative field.
Expert proficiency in Python and frameworks like PyTorch, TensorFlow, or Keras.
Hands-on experience with CV libraries such as OpenCV, YOLO, Detectron2, and MMDetection.
Solid background in CNNs, Vision Transformers (ViT), and image preprocessing techniques.

📌 Senior Data Scientist Computer Vision Chennai
🏢 CIEL HR
📍 Chennai