AI Workflow Automation Specialist

2 days ago

Mangalore, Karnataka, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
About the Role

We are seeking a skilled expert to join our technology team focused on automating US mortgage loan processing workflows. The successful candidate will have hands-on experience in designing intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools.

This role involves developing and implementing ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes.

The ideal candidate will have deep knowledge of LLMs and LangChain / AutoGen / Agentic AI design, with experience in deploying models into production-scale environments.

Key Responsibilities:

  • 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.
  • 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).

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