Opening For AI ML Engineer

Job highlights

• 3-8 years experience in CV/ML with expertise in PyTorch, TensorFlow, CNNs, Vision Transformers, and OCR/DocAI
• Develop and optimize OCR, handwriting, and document segmentation models; implement preprocessing and train CV models for stamp and handwriting detection; build benchmarking and orchestration pipelines; optimize inference for large-scale document processing

AI ML Engineer-Builds and fine-tunes OCR models, handwriting models, document segmentation, stamp detection, and image clean up pipelines:

Job Description:
Builds and fine-tunes OCR models, handwriting models, document segmentation, stamp detection, and image clean up pipelines.
Key Responsibilities
• Develop, fine-tune, and optimize OCR and document segmentation models.
• Implement preprocessing: deskew, denoise, watermark/stamp removal, cropping, binarization.
• Train CV models (YOLO/SAM) for stamp detection, handwriting region detection.
• Evaluate multiple OCR engines and build benchmarking frameworks.
• Build orchestration pipelines enabling ensemble predictions.
• Optimize inference for large-scale throughput (millions of docs).
Qualifications
• 38 years in CV/ML.
• Deep knowledge of PyTorch, TensorFlow, CNNs, Vision Transformers, OpenCV.
• Prior OCR/DocAI experience preferred.
Essential Skills:
AI and Automation Engineers with Dashboarding skillset, AI ML Engineers, Java HPCAI Engineers