AI Innovator

14 hours ago

Kannur, Kerala, India beBeeArtificial Full time US$ 1,80,000 - US$ 2,50,000

Job Title: AI Systems Engineer

Location: Remote, flexible arrangement

Experience: 5+ years in AI and Machine Learning

Job Summary:

We are seeking a skilled engineer to lead our technology team focused on automating mortgage loan processing workflows. This is an exciting opportunity to apply cutting-edge AI techniques to transform legacy loan operations.

Key Responsibilities:

  • Design and Implement Intelligent Solutions: Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes.
  • Develop Advanced AI Systems: Develop and deploy LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks.
  • Orchestrate Agentic AI Systems: Build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents.
  • Refine Models and Embeddings: Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering.
  • Develop End-to-End MLOps Workflows: Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models.
  • Deploy AI Models and Microservices: Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services).
  • Collaborate Cross-Functionally: Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions.

Required Skills & Qualifications:

  • 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.

About the Role:

This role requires a strong understanding of AI and machine learning concepts, as well as experience with cloud-based platforms. The ideal candidate will be able to design and implement complex AI systems, collaborate with cross-functional teams, and ensure the effectiveness of AI solutions.

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