OD/ML Engineer/Business Intelligence/April/2026/0045

About the role

As a ML Engineer, you will architect the core intelligence layer of our SaaS document processing platform. You will be responsible for building high-performance OCR and Computer Vision pipelines capable of training on 10 million+ images and delivering sub-second inference in production.

What you'll do

• Design and implement advanced Computer Vision architectures (CNNs, Vision Transformers, LayoutLM) for complex document extraction
• Lead large-scale training efforts involving 10 million+ images , ensuring efficient data loading, distributed training, and convergence at scale
• Develop robust OCR pipelines that handle varied lighting, multi-lingual scripts, and noisy document scans with industry-leading accuracy
• Optimize model latency for real-time SaaS applications using techniques like Quantization, Pruning, and compilation (TensorRT, ONNX)
• Build automated Model Retraining Loops and monitoring systems (AIOps) to handle data drift and ensure consistent performance in production

What you need

• 2–5 yrs of experience
• Machine learning
• LLMs
• AWS
• Python
• Deep learning
• PyTorch
• B.Sc or B.Tech or B.E. or BCA

Good to have

• TensorFlow
• FastAPI
• Git
• Docker
• Computer vision
• MLOps