AIOps / MLOps Engineer (India - Remote) India Posted 2026-07-16 š Job Title: AIOps / MLOps Engineer (India - Remote)š Location: Indiaš Employment type: Full-timeš Environment: Consulting Environment About the Role We are searching on behalf of our client for this role. This position is not with OVI.This role focuses on building, deploying, operating, and optimizing AI-powered systems in production. The ideal candidate brings strong AIOps expertise, complemented by MLOps and a solid DevOps foundation to ensure scalable, reliable, and automated AI operations across cloud environments. Key Responsibilities Productionize and operate AI/ML solutions at scale. Build and maintain CI/CD pipelines for AI applications and infrastructure. Automate infrastructure provisioning using Infrastructure as Code (IaC). Deploy, monitor, and optimize AI/ML workloads across AWS and Azure. Implement monitoring, logging, observability, and incident response for production AI systems. Collaborate with engineering teams to improve system reliability, scalability, and operational efficiency. Your Profile 4+ years of experience in AIOps, MLOps, DevOps, or Cloud Engineering. Strong hands-on experience with AI Operations and production AI systems. Experience with CI/CD, deployment automation, and infrastructure automation. Proficiency with AWS and Azure cloud platforms. Experience with Docker, Kubernetes, and container orchestration. Strong scripting skills in Python and/or Bash. Familiarity with monitoring and observability tools such as Prometheus, Grafana, Azure Monitor, CloudWatch, ELK, or Datadog. AI-Focused Experience Experience with MLflow, Kubeflow, Azure Machine Learning, or Amazon SageMaker. Hands-on experience with GitHub Actions, Azure DevOps, or Jenkins. Exposure to LLM/Generative AI deployment and operational monitoring. Understanding of Site Reliability Engineering (SRE) principles and production support best practices. What's Offered Opportunity to work in a fully integrated global delivery function. Collaborative work environment with US-based consultants and product leads. Involvement in designing, building, and deploying AI-powered solutions. Ideal Candidate The ideal candidate is a builder who ships, not just experiments, and takes strong ownership and accountability for outcomes. They think in systems, not just in code, and are pragmatic about AI capabilities and trade-offs. They care about maintainability and long-term code health and are collaborative across time zones and disciplines. When you apply to this role, AI may be used to help analyse and format your information so the hiring team can review it more easily. Frequently asked questionsHow do I apply for the AIOps / MLOps Engineer (India - Remote) role?You can apply directly on this page ā submit your CV and contact details through the application form, no account required.