AI Operations Engineer

Description GSPANN is hiring an AI Operations Engineer. The role focuses on deploying ML models, automating CI / CD pipelines, and implementing AIOps solutions.

Role and Responsibilities

• Build, automate, and manage continuous integration and continuous deployment (CI / CD) pipelines for machine learning (ML) models.
• Partner with data scientists to transition ML models from experimentation to production environments.
• Use tools such as Docker, Kubernetes, MLflow, or Kubeflow to deploy, monitor, and maintain scalable ML systems.
• Implement systems for model versioning, model drift detection, and performance tracking.
• Maintain reproducibility and traceability of ML experiments and outputs.
• Design and implement AIOps frameworks to enable predictive monitoring, anomaly detection, and intelligent alerting.
• Leverage observability tools, including Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), Dynatrace, and Datadog, to collect and analyze infrastructure and application metrics.
• Utilize machine learning and statistical methods to identify patterns, automate root cause analysis, and forecast system behavior.
• Write and maintain automation scripts that support remediation and incident response.

Skills and Experience