Senior AIOps ML Engineer

Senior AIOps ML Engineer

Location:

Woodland Hills, CA (Onsite) | Duration: 6 Months Contract

• 7+ years of experience in ML Engineering, Data Engineering, or AIOps.
• Strong expertise in Python, SQL, Kafka, Apache Flink/Spark Streaming.
• Hands‑on experience with Lakehouse technologies (Delta Lake/Apache Iceberg).
• Experience building scalable streaming data pipelines and ETL frameworks.
• Strong knowledge of Machine Learning, including anomaly detection, time‑series forecasting, and root cause analysis.
• Experience with MLOps (feature stores, model versioning, drift detection, automated retraining).
• Hands‑on experience with Open Telemetry (OTel), APM, Logs, Metrics, and Observability platforms.
• Experience with dbt, REST/gRPC APIs, and cloud‑native architectures.
• Familiarity with Pager Duty, Opsgenie, and enterprise monitoring solutions.

• Design and optimize Lakehouse architectures using Delta Lake/Apache Iceberg.
• Build real‑time streaming pipelines using Kafka, Flink, or Spark Streaming.
• Develop ML models for anomaly detection, incident forecasting, root cause analysis, and log intelligence.
• Manage MLOps lifecycle, including feature engineering, model deployment, monitoring, and retraining.
• Implement data quality, governance, and observability best practices.
• Collaborate with engineering and security teams to build scalable, production‑grade AIOps solutions.