
Automation Engineer for AI Solutions
1 week ago
We are looking for a highly skilled Artificial Intelligence Specialist to join our technology team focused on automating US mortgage loan processing workflows. The ideal candidate will have deep hands-on experience in Machine Learning, NLP, LLMs, GenAI, and Agentic AI, with a proven track record of designing intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools.
- Develop and deploy ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes.
- Implement LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks.
- Design and build 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.
- 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).
This role offers the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. The ideal candidate will be part of a dynamic team and will have access to ongoing training and professional development opportunities.
OthersThe successful candidate will be responsible for designing and implementing efficient AI/ML solutions that meet business needs. This involves working closely with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions. Experience deploying models into production-scale environments is required.
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