AIOps/MLOps Engineer

MGT is a USbased consulting firm that works largely with public sector and educationagencies across the US, while also supporting projects across technology, finance, andadvisory areas. Theyve been around for several decades and have scaled significantlyover the last few years.The India team works as a fully remote global delivery and research team, closelycollaborating with US consultants.

This role focuses on designing and delivering production-ready, scalable agentbasedsystems that integrate deeply with Azure cloud services and Microsoft platforms. Theexpectation is strong engineering discipline, architectural thinking, and real-world

delivery.

Role & 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.

Preferred candidate 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.