Mortgage Loan Automation Specialist

3 days ago

Bareilly, Uttar Pradesh, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Overview

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

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

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Key Responsibilities:

  • Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes.
  • Develop and deploy Large Language Model-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks.
  • Build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents.
  • Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering.
  • Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models.
  • Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services).
  • Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions.
  • Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows.

Required Skills & Qualifications:

  • 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems.
  • Proven expertise with LLMs (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.
  • Nice to Have
  • Understanding of US mortgage or lending workflows (1003, 1008, bank statements, etc.).
  • Experience with OCR, document intelligence tools (Azure Form Recognizer, Amazon Textract).
  • Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining.
  • Knowledge of privacy and compliance frameworks (HIPAA, SOC2) in AI deployments.
  • What We Offer:
  • Opportunity to lead GenAI and Agentic AI initiatives for mortgage automation.
  • Access to top-tier tools, frameworks, and cloud platforms.
  • Remote flexibility and career growth in an innovation-first team.
  • Impactful work transforming legacy loan operations through AI.

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