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Sr. AI/ML Engineer (RPA)
Qode.World India
Dubai, UAE
Full Time
Senior
3 weeks ago
Machine LearningDeep LearningIntelligent Document ProcessingOCRLayoutLMv3Donut
Free
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Machine LearningDeep LearningIntelligent Document Processing
About the Role
Qode.World India seeks a Senior AI/ML Engineer with 5+ years of production experience and 2-3 years in tech leadership. You will design and deploy scalable AI/ML models for intelligent document processing, integrate OCR and LLM orchestration, and collaborate with RPA teams.
Key Skills for This Role
Machine LearningDeep LearningIntelligent Document ProcessingOCRLayoutLMv3Donut
Responsibilities
- Design, build, and deploy production grade, highly scalable AI/ML models optimized for intelligent document understanding, extraction, and classification
- Architect robust technical pipelines for document text extraction, metadata parsing, structural layout analysis, and validation rules
- Implement and integrate sophisticated OCR and layout aware transformation techniques (e.g., LayoutLMv3, Donut) to turn unstructured document text into structured insights
- Construct context aware, stateful Large Language Model applications using LangGraph and LangChain
- Collaborate with automation engineering teams to bridge AI/ML microservices with RPA workflows for end to end corporate automation
- Optimize model speed, precision, recall, and scalability in high concurrency production environments
Requirements
- 5+ years as an AI/ML Engineer, at least 2 3 years in tech leadership roles
- Prior experience working exclusively with organizations that build, deploy, or productize AI/ML technologies as core business function
- Hands on experience with enterprise RPA tools (UiPath, Automation Anywhere, Blue Prism, or Power Automate) in production environments
- Bachelor's or Master's in AI, ML, Computer Science, or related quantitative field
Full Job Posting
About the Role
- We are seeking a highly skilled Senior AI/ML Engineer with 5+ years of hands on production experience, and at least 2 3 years of technical leadership experience.
- This position is tailored for engineering professionals who have excelled within core AI/ML environments—such as AI product companies, specialized AI consulting firms, or dedicated enterprise AI Centers of Excellence.
- You will bring an engineering mindset to design, develop, and deploy scalable, real world solutions centered around Intelligent Document Processing (IDP), Document AI architectures, and seamless automation pipelines.
Key Responsibilities
- Model Development & Deployment: Design, build, and deploy production grade, highly scalable AI/ML models optimized for intelligent document understanding, extraction, and classification.
- End to End Pipelines: Architect robust technical pipelines for document text extraction, metadata parsing, structural layout analysis, and validation rules.
- Document AI Integration: Implement and integrate sophisticated OCR and layout aware transformation techniques (e.g., LayoutLMv3, Donut) to turn unstructured document text into rich, structured insights.
- LLM Orchestration: Construct context aware, stateful Large Language Model applications utilizing modern multi agent orchestration frameworks like LangGraph and LangChain.
- RPA Synergy: Collaborate with automation engineering teams to bridge AI/ML microservices seamlessly with Robotic Process Automation (RPA) workflows to drive end to end corporate automation.
- Performance Optimization: Optimize model speed, precision, recall, and scalability in high concurrency production environments.
Mandatory Requirements (Strict Filters)
- Core AI/ML Company Experience: Candidates MUST have prior experience working exclusively with organizations that actively build, deploy, or productize AI/ML technologies as their core business function.
- Robotic Process Automation (RPA): Hands on experience with enterprise RPA tools and platforms (e.g., UiPath, Automation Anywhere, Blue Prism, or Power Automate) is MANDATORY. You must have designed, developed, or deployed RPA bots/workflows in production environments and integrated them with AI/ML p
Technical Skills Matrix
- Document AI Platforms: Rossum, Hyperscience, Nanonets, Infrrd
- Cloud AI Services: Microsoft Azure AI Document Intelligence, AWS Textract
- Document Processing & Parsing: LandingAI ADE Split, LlamaParse, LayoutLMv3, Donut
- LLM Orchestration: LangGraph, LangChain
- RPA Platforms (Mandatory): UiPath, Automation Anywhere, Blue Prism, Microsoft Power Automate
Education & Qualifications
- Degree: Bachelor's or Master's in Artificial Intelligence, Machine Learning, Computer Science, or a related quantitative field.
- Foundations: Strong theoretical grounding in Linear Algebra, Probability, Statistics, and Optimization (highly desirable).
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