Implement Model Monitoring For (i) Data drift and schema validation (using tools like Evidently AI, Alibi Detect).

(ii) Performance metrics (accuracy, precision, recall).

(iii) Infrastructure metrics (latency, throughput, memory usage).

Other Responsibilities

• Implement event-driven retraining workflows triggered by drift alerts or data freshness.
• Schedule GPU workloads on Kubernetes and manage resource utilization for ML jobs.
• Design and manage secure, scalable infrastructure using AWS, GCP, or Azure.
• Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or AWS DevOps.
• Write and manage Infrastructure as Code using Terraform, Pulumi, or CloudFormation.
• Automated configuration management with Ansible, Chef, or SaltStack.
• Manage Docker containers and advanced Kubernetes resources (Helm, StatefulSets, CRDs, DaemonSets).
• Implement robust monitoring and alerting stacks: Prometheus, Grafana, CloudWatch, Datadog, ELK, or Loki.

About Company: AAIZEL Technologies, with 15+ years of expertise, stands as a vanguard in the AI industry, offering cutting-edge solutions in Geospatial Technologies, Weather Analytics, Edge Analytics, Natural Language Processing, and Computer Vision. Leveraging advanced machine learning techniques and proprietary algorithms, AAIZEL assists businesses in extracting actionable insights from their data, enhancing decision-making and goal realization.

Dedicated to innovation and ethical conduct, the expert team at AAIZEL is committed to delivering tailored, data-driven solutions that disrupt industry norms and propel future growth.