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2 days ago
We seek a seasoned AI professional with hands-on expertise in machine learning, natural language processing, and large language models. This role involves designing scalable solutions using cloud-native MLOps and advanced AI orchestration tools on Azure.
Key Responsibilities- Design and implement ML/NLP pipelines for automating business processes.
- Develop and deploy LLM-based solutions using tools like OpenAI and integrate via LangChain or similar frameworks.
- Build and orchestrate Agentic AI systems to enable autonomous decision-making and task planning.
- Fine-tune domain-specific LLMs and embeddings for intelligent document classification and summarization.
- 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).
- Collaborate with cross-functional teams to ensure compliance and effectiveness of AI solutions.
- 5+ years of experience in machine learning, NLP, or LLM-based systems.
- Proven expertise with LLMs and 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 mortgage or lending workflows.
- Experience with OCR and document intelligence tools.
- Exposure to Agentic AI concepts.
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