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Qode

AI Machine Learning Engineer

Remote Maharashtra, India
AI Machine Learning Document AI LLM LangGraph LangChain Azure AI Document Intelligence AWS Textract NLP OCR
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Description

AI ML Engineer

Location: Maharashtra, Maharashtra, India

Workplace: remote

Employment Type: full

Description

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
  • 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.

Core Competencies
  • 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

Education & Qualifications

  • Bachelor’s or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field.

Additional Requirement

  • 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.

Preferred Qualifications

  • 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.
Qode
Qode

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