Expert Mortgage Loan Processing Automation AI Developer

2 weeks ago

Pune, Maharashtra, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Join a team of innovators who are revolutionizing mortgage loan processing with cutting-edge AI and cloud-native technologies. As an AI Engineer at Talentgigs, you will play a pivotal role in automating workflows using advanced AI/LLM orchestration tools on Azure.

Key Responsibilities
  • Pipeline Development
  • Create end-to-end ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes to drive efficiency and accuracy.
  • LLM Solutions
  • Develop and deploy LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks to enhance decision-making capabilities.
  • Agentic AI Systems
  • Design and build Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous task planning, and loan-processing agents that can make informed decisions.
  • Model Optimization
  • Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering to improve model performance.
  • MLOps Workflows
  • Develop scalable MLOps workflows for training, testing, and monitoring models to ensure seamless deployment and maintenance.
  • Deployment and Integration
  • Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services) to create a cohesive and efficient system.
  • Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions to drive business value.
  • Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows to streamline processes.
Requirements
  • A minimum of 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.

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