Senior AI / ML Operations Engineer

Description GSPANN is hiring a Senior AI / ML Operations Engineer. The role focuses on building AIOps / MLOps systems and automating ML pipelines.

Role and Responsibilities

• Architect and drive the implementation of scalable Artificial Intelligence for IT Operations (AIOps) and Machine Learning Operations (MLOps) frameworks.
• Mentor junior engineers and data scientists by sharing best practices in model deployment and operational excellence.
• Align technical strategies with business objectives through close collaboration with product managers, Site Reliability Engineers (SREs), and other key stakeholders.
• Establish and uphold engineering standards, including Service-Level Agreements (SLAs), Service-Level Indicators (SLIs), and Service-Level Objectives (SLOs) for machine learning and AIOps services.
• Design and manage Machine Learning (ML) CI / CD (Continuous Integration / Continuous Deployment) pipelines for model training, testing, deployment, and monitoring using tools such as Kubeflow, MLflow, and Apache Airflow.
• Implement robust monitoring systems to track model performance metrics like drift, latency, and accuracy, and automate retraining workflows where necessary.
• Lead model governance efforts by ensuring reproducibility, traceability, and compliance with frameworks such as FAIR (Findable, Accessible, Interoperable, Reusable), and maintaining audit logs.
• Build AI / ML-powered solutions for proactive infrastructure monitoring, predictive alerting, and intelligent incident resolution.
• Enhance anomaly detection and root cause analysis by integrating and optimizing observability tools such as Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), Dynatrace, Splunk, and Datadog.
• Automate response workflows using predefined playbooks, runbooks, and self-healing systems.
• Apply statistical techniques and machine learning models to analyze logs, metrics, and distributed traces at scale.

Skills and Experience