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
