Required Skills & Experience

35 years of experience in ML/DL, with hands-on work in computer vision, document AI, audio/video ML, or similar fields

Strong background in deep learning (CNNs, RNNs, Transformers, ResNet, etc.)

Experience with tools like PyTorch, TensorFlow, OpenCV, Hugging Face, or similar

Ability to work with image, document, and multimedia data (OCR, video classification, speech recognition)

Strong Python programming and ML Ops skills (Docker, Git, model pipelines, performance optimization)

Familiarity with hybrid architectures combining tabular and unstructured data inputs

Experience with ML interpretability, evaluation metrics, and production deployment

Preferred Qualifications

Graduate from a top-tier engineering college (IIT/NIT/BITS or equivalent)

Prior experience in BFSI/Fintech or high-compliance industry using AI for operational or document intelligence

Exposure to model deployment at scale for computer vision and multimodal data

Lead Supervised AI