Generative AI Engineer

• Our client is looking to hire a highly skilled and innovative ML/AI Architect 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., * Maintain existing predictive models while architecting for the future. This role will require architecting application that works as an integration of predictive model and generative AI.

• AutoGen
• Communication
• Generative AI
• GraphQL
• Jenkins
• LangGraph
• Machine Learning
• Model Context Protocol Client
• Model Context Protocol Servers
• Model Prototyping
• Azure
• Large Language Model (LLM)
• MongoDB
• Python, * Strong experience in building and deploying 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.
• Familiarity with machine learning frameworks like PyTorch.
• Hands on experience with generative AI models such as GPT.
• Understanding of MLOps practices for building scalable AI pipelines.
• Solid understanding of natural language processing (NLP) and AI ethics.
• 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 , Hugingface
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• Good written and verbal communication skills