AI/ML Engineer|| PAN India - BIG 4

Job Title: AI/ML Engineer Location: Bangalore Experience: 710 Years About the Role We are looking for an experienced AI/ML Engineer to design, develop, deploy, and maintain scalable Machine Learning and Generative AI solutions. The ideal candidate should have hands-on experience with production-grade ML systems, MLOps practices, LLM integration, and cloud-native deployments. Key Responsibilities Design, develop, deploy, and maintain production-ready Machine Learning and LLM solutions. Build scalable ML pipelines with CI/CD and MLOps best practices. Integrate Large Language Models (LLMs) into enterprise applications. Develop RAG-based AI solutions using modern LLM frameworks. Collaborate with Data Scientists, Data Engineers, and Cloud teams to productionize AI models. Monitor model performance, detect model drift, and ensure system reliability. Develop REST APIs and support AI application deployment. Contribute to ML governance, testing, documentation, and responsible AI practices. Required Skills Strong programming experience in Python Hands-on experience in Machine Learning and MLOps Experience with Large Language Models (LLMs) and Generative AI Prompt Engineering LangChain and/or LangGraph Retrieval Augmented Generation (RAG) Azure (Preferred), AWS or GCP Docker and Kubernetes Airflow CI/CD using Jenkins, GitHub Actions, or ArgoCD SQL and relational databases ML model deployment, monitoring, and lifecycle management Pytest and ML system testing Job Title: AI/ML Engineer Location: Bangalore Experience: 710 Years About the Role We are looking for an experienced AI/ML Engineer to design, develop, deploy, and maintain scalable Machine Learning and Generative AI solutions. The ideal candidate should have hands-on experience with production-grade ML systems, MLOps practices, LLM integration, and cloud-native deployments. Key Responsibilities Design, develop, deploy, and maintain production-ready Machine Learning and LLM solutions. Build scalable ML pipelines with CI/CD and MLOps best practices. Integrate Large Language Models (LLMs) into enterprise applications. Develop RAG-based AI solutions using modern LLM frameworks. Collaborate with Data Scientists, Data Engineers, and Cloud teams to productionize AI models. Monitor model performance, detect model drift, and ensure system reliability. Develop REST APIs and support AI application deployment. Contribute to ML governance, testing, documentation, and responsible AI practices. Required Skills Strong programming experience in Python Hands-on experience in Machine Learning and MLOps Experience with Large Language Models (LLMs) and Generative AI Prompt Engineering LangChain and/or LangGraph Retrieval Augmented Generation (RAG) Azure (Preferred), AWS or GCP Docker and Kubernetes Airflow CI/CD using Jenkins, GitHub Actions, or ArgoCD SQL and relational databases ML model deployment, monitoring, and lifecycle management Pytest and ML system testing