Machine Learning Engineer

About the job

Hiring AI Engineers for one of the big 4 firm Experience: 39 Years

About the RoleWe are looking for an AI Engineer with strong experience in GenAI, LLMs, and AI/ML platform engineering to join a leading global organization. The role involves designing, building, and deploying enterprise-grade AI solutions, with a focus on GenAI applications, RAG systems, model serving, and scalable AI platforms.Key ResponsibilitiesGenAI & AI Platform Developmen

• tDesign, develop, and deploy enterprise AI/GenAI solutions using modern AI/ML technologies
• .Build scalable AI platforms supporting end-to-end workflows from data ingestion, retrieval, model orchestration, and serving
• .Work on conversational AI, multi-turn agents, and LLM-powered enterprise applications
• .Integrate LLMs such as GPT-4/GPT-4o into production-grade applications.RAG & Intelligent Retrieval System
• sBuild and optimize enterprise RAG (Retrieval Augmented Generation) frameworks
• .Develop retrieval pipelines using recursive chunking, metadata tagging, embeddings, and semantic/hybrid search approaches
• .Work with Vector Databases and search technologies such as FAISS and Azure AI Search
• .Leverage frameworks such as LangChain and LangGraph for advanced GenAI workflows
• .Improve model accuracy and reduce hallucinations through retrieval optimization techniques.Model Serving & Production Engineerin
• gDevelop and expose AI services using FastAPI and REST APIs
• .Build containerized deployments using Docker and support scalable production environments
• .Ensure production readiness, monitoring, reliability, and high availability of AI services
• .Support CI/CD pipelines, MLOps practices, and automated deployment workflows.Data & Platform Engineerin
• gWork with Python and SQL for data processing, orchestration, and analytics workflows
• .Handle enterprise integrations, modular APIs, and cross-functional platform development
• .Collaborate with business, product, and engineering teams to deliver scalable AI capabilities.Required Skills & Experienc
• e36 years of IT experience with at least 2+ years in GenAI / AI / ML engineering
• .Strong hands-on expertise in Python, SQL, Docker, FastAPI, REST APIs
• .Experience working with GenAI / LLMs (GPT-4, GPT-4o, OpenAI, Azure OpenAI or similar)
• .Strong understanding of RAG architectures, LangChain, LangGraph, Vector Databases, FAISS, Azure AI Search
• .Experience in containerized deployments, CI/CD, MLOps, and production model serving
• .Knowledge of conversational AI, multi-agent workflows, and enterprise AI platform design