Machine Learning Engineer (Document Intelligence & OCR)
Experience: 3–7 Years | Location: Noida (Hybrid)
Velloe Overview
VELLOE’s journey began with a clear thesis: Built by operators. Powered by intelligence. We are an independent infrastructure intelligence company operating at the intersection of operations, AI execution, and enterprise transformation. Founded by people who understand how fast-moving environments actually work, VELLOE combines operator expertise, AI-enabled workflows, and precise execution across critical infrastructure environments. Rather than advising from the outside like a traditional consultancy, our teams embed directly into the operation to deliver clarity at the edge of complexity. If you enjoy working in a hyper-fast-growing company, are eager to be part of an agile team, and want to be part of our success story, then let’s talk!
Impact at VELLOE
As a Machine Learning Engineer (Document Intelligence & OCR), you will build AI-powered OCR and intelligent document processing solutions using Computer Vision, Deep Learning, and Document Intelligence. You will have hands-on experience in designing, training, and deploying CNN and Vision Transformer (ViT) models for document classification, information extraction, fraud detection, and OCR of financial and identity documents.
Job Responsibilities
In This Role, You Will
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Design, train, and deploy Machine Learning and Deep Learning models.
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Develop Document Intelligence and OCR solutions for paystubs, bank statements, invoices, tax forms, and identity documents.
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Build and optimize CNN and Vision Transformer (ViT) models for document classification, layout analysis, object detection, and text extraction.
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Develop scalable AI services using Python, FastAPI, or Flask.
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Improve model accuracy, inference performance, and production scalability.
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Collaborate with engineering teams to deploy AI solutions in cloud environments.
Required Qualifications
The top candidate will have:
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Programming: Python, FastAPI, Flask.
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Machine Learning: Scikit-learn, XGBoost.
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Deep Learning: PyTorch, TensorFlow, Keras.
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Computer Vision: CNN, Vision Transformers (ViT), OpenCV, YOLO.
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Document Intelligence: OCR, Intelligent Document Processing (IDP), Layout Analysis, Key-Value Extraction.
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Cloud & DevOps: Docker, Git, AWS/Azure.
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Databases: PostgreSQL, MongoDB, Redis.
Ideally You Have
Bonus Qualifications
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Generative AI: Hugging Face, LLMs, LangChain, RAG.
Ideal Candidate
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Hands-on experience designing, training, and deploying CNN and Vision Transformer (ViT) models.
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Comfortable working across document classification, information extraction, fraud detection, and OCR of financial and identity documents.
Key Skills
Machine Learning, Deep Learning, Python, Computer Vision, CNN, Vision Transformer (ViT), OCR, Document Intelligence, Intelligent Document Processing (IDP), PyTorch, TensorFlow, OpenCV, YOLO, FastAPI, Flask, Scikit-learn, Hugging Face, LLM, LangChain, RAG, Docker, PostgreSQL, MongoDB, Redis.
Our Values
We are privileged to serve our loyal customer base in our mission to build lasting relationships with our clients based on trust and mutual success. We strive to deliver exceptional quality and consistency through a white-glove approach. By empowering businesses with tailored solutions and insights, we help them achieve their goals and navigate the ever-evolving tech landscape.
The Values We Live By
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Customer-centric Solutions
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Innovation & Excellence
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Integrity & Transparency
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Data-driven Decision Making
