
Advanced Mortgage Automation Specialist
18 hours ago
Leading Edge AI Engineer required to drive mortgage loan processing automation through innovative solutions.
Achieve this by designing and implementing machine learning and natural language processing pipelines for document intelligence, loan origination, and underwriting processes.
Utilize large language models and advanced orchestration tools on Azure to create scalable and intelligent solutions.
This role involves developing and deploying cutting-edge technologies using tools like HuggingFace Transformers, LangChain, and Ollama.
The ideal candidate has 5+ years of experience in machine learning, NLP, or LLM-based systems, with expertise in Python, Scikit-learn, PyTorch/TensorFlow, and Spacy.
They should also have strong knowledge of Azure Cloud, including Azure ML, Azure Functions, and Azure DevOps.
Additionally, the candidate should be familiar with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow.
Experience with vector databases, deployment of models into production-scale environments, and OCR/document intelligence tools is a plus.
- 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 HuggingFace, Ollama, 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.
- 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.
- 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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