AI ML Engineer

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.