Senior AIOps SME (Chennai)

Your Role - Implement and maintain AI-driven systems for real-time monitoring, alerting, anomaly detection, and root cause analysis - Develop and train machine learning models using operational data (logs, metrics, events, traces) - Automate incident detection and remediation workflows (e.g., self-healing scripts, intelligent runbooks) - Collaborate with DevOps, SRE, and IT teams to integrate AIOps tools into CI/CD pipelines and cloud infrastructure - Design data pipelines that ingest, clean, and analyze high-volume system telemetry data - Evaluate and deploy AIOps platforms (e.g., Moogsoft, Dynatrace, Splunk, BigPanda, DataDog) - Monitor model performance, manage retraining cycles, and ensure AI reliability Your Profile - Experience in DevOps, SRE, or infrastructure automation roles - Proficiency in Python, Bash, or other scripting languages - Familiarity with AI/ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) - Strong understanding of observability stacks (e.g., Prometheus, Grafana, Splunk, OpenTelemetry) - Experience with public cloud platforms (AWS, Azure, GCP) and infrastructure as code (e.g., Terraform, Ansible) - Hands-on experience with AIOps platforms or building ML-based incident response systems - Background in log analysis, time-series forecasting, or unsupervised anomaly detection - Knowledge of Kubernetes, container orchestration, and service mesh architectures - Exposure to ITSM/ITIL processes and how they integrate with AIOps - Ability to communicate ML results to operational teams and implement iterative improvements''a What will you love working at Capgemini - Work with modern technologies across enterprisegrade digital solutions. - Grow your technical expertise through continuous learning and structured career paths. - Collaborate in highperforming engineering teams delivering solutions at scale. - Benefit from a flexible, skilled work environment that supports productivity and innovation. .