AI ML Engineer
We are seeking a Senior AI/ML Engineer with 5+ years of hands-on experience in Artificial Intelligence and Machine Learning. 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.
Key Responsibilities
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Design, develop, and deploy scalable AI/ML models for document processing and automation.
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Build end-to-end pipelines for data extraction, classification, and validation.
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Implement and integrate Document AI and OCR-based solutions.
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Develop LLM-driven applications using modern frameworks and orchestration tools.
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Collaborate with cross-functional teams to deliver business-focused AI solutions.
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Optimize model performance, accuracy, and scalability in production environments.
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Stay updated with the latest advancements in AI/ML technologies.
Core Competencies
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Strong experience in production-grade AI/ML implementations.
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Expertise in Intelligent Document Processing (IDP) and Document AI.
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Hands-on experience with LLM frameworks and workflow orchestration.
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Strong analytical, problem-solving, and debugging skills.
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Ability to work in fast-paced, technology-driven environments.
Must-Have Technical Skills
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Rossum
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Hyperscience
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Nanonets
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Infrrd
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Microsoft Azure AI Document Intelligence
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AWS Textract
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LandingAI ADE Split
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LlamaParse
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LayoutLMv3
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Donut (Document Understanding Transformer)
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LangGraph
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LangChain
Education & Qualifications
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Bachelor’s or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
Additional Requirement
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At least 2 years of experience in leadership roles
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Candidates must have prior experience working with organizations that actively utilize AI/ML technologies in real-world, production-grade environments.
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Proficiency with Robotic Process Automation (RPA) Tools..
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Strong Mathematical foundation (Linear Algebra, Probability, Statistics, Optimization) is highly desirable.
Preferred Qualifications
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Experience in large-scale AI deployments on cloud platforms.
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Strong background in NLP, OCR, and document automation workflows.
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Experience with model fine-tuning, prompt engineering, and evaluation techniques.
