Transformative AI Expert

2 weeks ago

Belgaum, Karnataka, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Summary

A highly skilled Artificial Intelligence Engineer is sought after to spearhead the development of intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools on Azure.

The ideal candidate will have hands-on experience in Machine Learning, NLP, LLMs, GenAI, and Agentic AI, with a proven track record of designing and implementing ML/NLP/GenAI pipelines for automating business processes.

This role involves collaborating with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions, as well as leveraging prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual workflows.

Key Responsibilities
  1. Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes.
  2. Develop and deploy LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks.
  3. Build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents.
  4. Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering.
  5. Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models.
  6. Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services).
Requirements
  • 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.
Benefits
  • 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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