Senior Machine Learning/GenAI Architect

About the role

This role requires someone with deep traditional AI/ML expertise, including model development, data science, MLOps, and model validation, along with exposure to GenAI and agentic AI patterns such as RAG, orchestration, tool integration, and governed workflow automation.

Responsibilities

• Maintain existing predictive models while architecting for the future.
• Architect application that works as an integration of predictive model and generative AI.
• Build and deploy predictive models based on Random Forest, Linear Regression etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at enterprise scale.
• Develop robust and scalable pipelines for data preprocessing, model training, and deployment.
• Strong programming skills in Python and in similar languages. Hands on experience with generative AI models such as GPT.
• Understand MLOps practices for building scalable AI pipelines.
• Translate complex requirements into scalable and efficient architecture.
• Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments.
• Excellent Communication and Leadership qualities to work independently with minimal supervision.

Requirements

• A minimum of 6 + years experience as a Data Engineer or similar role with 1 2 years specifically focused on GenAI or AI/ML projects.
• Strong knowledge data architecture in banking domain.
• 4+ Years Work Experience in Python, Mongo.
• Strong hands on experience with Microsoft Azure.
• Integrate LLMs with enterprise datasets using Azure Open AI.
• Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP).
• ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment.
• GenAI: Knowledge in LLM Models, Langchain , Huggingface.
• Solid understanding of natural language processing (NLP) and AI ethics.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• Good written and verbal communication skills.