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
- B

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