The ideal candidate should have worked in organizations where AI/ML technologies are actively implemented in production environments, particularly in Document AI and intelligent automation.
Design, develop, and deploy scalable AI/ML models for document processing and automation.
Build end\-to\-end pipelines for data extraction, classification, and validation.
Implement and integrate Document AI and OCR\-based solutions. Develop LLM\-driven applications using modern frameworks and orchestration tools.
Collaborate with cross\-functional teams to deliver business\-focused AI solutions. Optimize model performance, accuracy, and scalability in production environments.
Stay updated with the latest advancements in AI/ML technologies.
Strong experience in production\-grade AI/ML implementations.
Expertise in Intelligent Document Processing (IDP) and Document AI.
Hands\-on experience with LLM frameworks and workflow orchestration.
Strong analytical, problem\-solving, and debugging skills. Ability to work in fast\-paced, technology\-driven environments.
Must\-Have Technical Skills Rossum Hyperscience Nanonets Infrrd Microsoft Azure AI Document Intelligence AWS Textract LandingAI ADE Split LlamaParse LayoutLMv3 Donut (Document Understanding Transformer) LangGraph LangChain
Bachelor’s or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
Additional Requirement Preferred Qualifications Candidates must have prior experience working with organizations that actively utilize AI/ML technologies in real\-world, production\-grade environments.
Strong Mathematical foundation (Linear Algebra, Probability, Statistics, Optimization) is highly desirable. Experience in large\-scale AI deployments on cloud platforms.
Strong background in NLP, OCR, and document automation workflows.
Experience with model fine\-tuning, prompt engineering, and evaluation techniques.
Pay: ₹2,000,000\.00 \- ₹2,500,000\.00 per year
Work Location: In person
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