Senior Mortgage Loan Automation Specialist

3 days ago

Coimbatore, Tamil Nadu, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: Artificial Intelligence Engineer

Our organization is seeking a skilled AI Engineer with extensive hands-on experience in Machine Learning, Natural Language Processing, and Large Language Models to join our technology team focused on automating US mortgage loan processing workflows.

  • We are looking for an expert who can design and implement ML/NLP/Large Language Model pipelines for automating loan origination, underwriting, and document intelligence processes.
  • The ideal candidate will have expertise in developing and deploying Large Language Model-based solutions using tools like OpenAI, HuggingFace, and integrating via LangChain or similar frameworks.
  • They should be able to build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents.
  • Experience in fine-tuning domain-specific Large Language Models and embeddings for intelligent document classification, summarization, and question answering is also required.
  • The successful candidate will develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models.
  • Deploying AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services) is also essential.
  • They will work closely with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions.
  • Leveraging prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows is also expected.

Required Skills & Qualifications:

  • A minimum of 5 years of hands-on experience in Machine Learning, NLP, or LLM-based systems.
  • Proven expertise with Large Language Models (e.g., OpenAI, Ollama, GPT-4, Mistral) and LangChain / AutoGen / Agentic AI design.
  • Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers.
  • Strong knowledge of Azure Cloud – including Azure ML, Azure Functions, Azure DevOps.
  • Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow.
  • Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate).
  • Experience deploying models into production-scale environments.

About the Role:

This role involves designing intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools on Azure.

The ideal candidate will have a strong background in AI/ML and a passion for innovative problem-solving.

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