AI Specialist for Loan Automation

3 days ago

Ahmedabad, Gujarat, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Artificial Intelligence Engineer

We are seeking a highly skilled professional with deep hands-on experience in Machine Learning (ML), Natural Language Processing (NLP) and Large Language Models (LLMs). The ideal candidate will have expertise in designing and implementing ML/NLP/GenAI pipelines for automating loan origination, underwriting and document intelligence processes.

This role involves designing intelligent scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools. The candidate will work on developing and deploying LLM-based solutions using tools like Ollama, OpenAI, HuggingFace and integrate via LangChain or similar frameworks.

  • Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting and document intelligence processes.
  • Develop and deploy LLM-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.
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.

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