Senior AI/ML Engineer (Document AI & RPA)
Codearray Technologies
- Senior AI/ML Engineer Document AI & RPA
- Experience: 5+ Years
- Location: Mumbai / Remote
- Employment Type: Full-Time
- Job Overview
We are looking for a Senior AI/ML Engineer with 5+ years of hands‑on experience in Artificial Intelligence, Machine Learning, Document AI, Intelligent Document Processing (IDP), OCR, LLM applications and Robotic Process Automation (RPA) .
The ideal candidate must have experience delivering production‑grade AI/ML solutions and should have worked with an organization where AI/ML is a core business function , such as an AI product company, AI consulting firm, or organization with a dedicated AI/ML Centre of Excellence.
Key Responsibilities:
- Design, develop and deploy scalable AI/ML models for document processing and intelligent automation.
- Build end‑to‑end Document AI / Intelligent Document Processing (IDP) pipelines for data extraction, classification and validation.
- Implement and integrate OCR and Document AI solutions .
- Develop LLM-driven applications using modern frameworks and orchestration tools such as LangChain and LangGraph .
- Design, develop and deploy RPA bots and workflows in production environments.
- Integrate RPA with AI/ML pipelines to automate business processes.
- Work with cross-functional teams to deliver business‑focused AI solutions.
- Optimize model performance, accuracy, scalability and reliability in production environments.
- Stay updated with advancements in AI/ML, Document AI, LLM and intelligent automation technologies.
Mandatory Technical Skills:
- 5+ years of hands‑on AI/ML experience
- Strong experience in production‑grade AI/ML implementations
- Hands‑on experience in Document AI / Intelligent Document Processing (IDP)
- Experience with OCR and document automation workflows
- Hands‑on experience with RPA in production
- Experience with one or more RPA platforms: UiPath, Automation Anywhere, Blue Prism or Microsoft Power Automate
- Experience with LLM frameworks and orchestration , particularly LangChain / LangGraph
- Experience with Document AI technologies/platforms such as Rossum, Hyperscience, Nanonets, Infrrd, Azure AI Document Intelligence or AWS Textract
- Experience with document processing technologies such as LlamaParse, LayoutLMv3 or Donut
Mandatory Company Experience:
Candidates must have prior experience working with organizations where AI/ML is a core business function .
Relevant backgrounds include:
- AI/ML product companies
- AI consulting organizations
- Organizations with dedicated AI/ML Centres of Excellence
Candidates whose organizations used AI/ML only as an incidental, experimental or secondary capability will not be considered.
Additional Requirements:
- Strong analytical, problem-solving and debugging skills.
- Strong understanding of NLP, OCR and document automation .
- Experience with model fine‑tuning, prompt engineering and model evaluation .
- Strong foundation in Linear Algebra, Probability, Statistics and Optimization is highly desirable.
- Experience deploying AI/ML solutions on AWS, Azure or GCP is preferred.
- Experience with real‑world, production‑grade AI/ML environments is required.
Education
Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science or a related field .
Note:
Candidates must have hands‑on production experience in both AI/ML and RPA , along with relevant Document AI/IDP experience .
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