AI ML Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 6 months ago
5-7 years
India
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 6 months ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

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

  • Bachelors or Masters 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

Skills

Artificial IntelligenceData ExtractionMachine LearningAi/mlPrompt EngineeringAi/ml EngineerMl EngineerAiMlAi Ml

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