We are looking for a highly skilled Senior Engineer – MLOps to build, deploy, and operate scalable, reliable AI/ML infrastructure that powers our next-generation AI platforms. This role sits at the intersection of Machine Learning, DevOps, and Cloud Engineering, with a robust focus on supporting LLM agent systems, data pipelines, cloud infrastructure, and production AI workloads.
The ideal candidate will have hands-on experience deploying and managing machine learning systems in cloud environments, automating infrastructure, building CI/CD pipelines, and ensuring the performance, scalability, and reliability of AI/ML platforms.
WHAT YOU'LL DO
Design, deploy, and manage scalable AI/ML infrastructure for production environments
Build and maintain infrastructure supporting LLM agent systems, machine learning models, and data pipelines
Deploy and operate ML/AI workloads across major cloud platforms such as AWS, GCP, or Azure
Develop and maintain containerized applications using Docker and serverless container platforms such as Cloud Run, ECS Fargate, or Azure Container Apps




Design and manage cloud databases, data warehouses, and storage solutions for AI applications
Build and optimize ETL/ELT pipelines to support machine learning workflows and analytics
Implement Infrastructure as Code (IaC) using Terraform or similar tools
Design and maintain CI/CD pipelines for automated model deployment and infrastructure provisioning
Implement monitoring, logging, alerting, and performance optimization for AI/ML systems
Manage event-driven architectures using messaging platforms such as Kafka, Pub/Sub, SNS/SQS, or similar technologies
Collaborate closely with AI/ML Engineers, Data Scientists, and Software Engineers to support model deployment and production operations
Optimize infrastructure for reliability, scalability, latency, and cost efficiency
Ensure security, governance, and operational best practices across cloud environments
WHAT YOU'LL NEED
Bachelor's degree in Computer Sc

📌 Senior Engineer, Machine Learning Ops (Bengaluru)
🏢 Code and Theory
📍 Bengaluru