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2 days ago
We are seeking a highly skilled and experienced AI Solutions Architect to design and implement intelligent solutions using cloud-native MLOps and advanced AI/LLM orchestration tools.
About the Role:- You will be responsible for designing and implementing 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).
- 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.
A remote work environment and career growth opportunities. You will have access to top-tier tools and frameworks, and the chance to lead GenAI initiatives for mortgage automation.
We are committed to providing a collaborative and dynamic work environment that fosters innovation and creativity.
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