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 environments.
- 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.
- Strong background in CNNs, Vision Transformers (ViT), and image preprocessing techniques.

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