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Sr. AI/ML Engineer (RPA)
Qode.World Vietnam
Dubai, UAE
Full Time
Senior
2 weeks ago
PythonTensorFlowPyTorchLangGraphLangChainUiPath
Free
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PythonTensorFlowPyTorch
About the Role
We are seeking a Senior AI/ML Engineer with 5+ years of production experience to design, develop, and deploy scalable solutions for Intelligent Document Processing and Document AI.
Key Skills for This Role
PythonTensorFlowPyTorchLangGraphLangChainUiPath
Responsibilities
- Design, build, and deploy production grade AI/ML models 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 OCR and layout aware transformation techniques (e.g., LayoutLMv3, Donut)
- Construct context aware LLM applications using LangGraph and LangChain
- Collaborate with automation engineering teams to bridge AI/ML microservices with RPA workflows
- 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
- Experience working exclusively in core AI/ML companies
- Hands on experience with enterprise RPA tools (UiPath, Automation Anywhere, Blue Prism, or Power Automate)
- Proficiency in Python and ML frameworks
- Bachelor's or Master's in AI, ML, Computer Science, or related 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.
- In this role, 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)
- Candidates MUST have prior experience working exclusively with organizations that actively build, deploy, or productize AI/ML technologies as their core business function.
- Hands on experience with enterprise RPA tools and platforms (e.g., UiPath, Automation Anywhere, Blue Prism, or Power Automate) is MANDATORY.
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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