Senior AI Ops Engineer - Application
Core
Build ingestion pipelines, train anomaly-detection and forecasting models, and write deterministic automation to remediate application-layer failures in a regulated financial environment.
Role type
Senior AI Ops Engineer (Application)
Builds
Ingestion pipelines, feature stores, anomaly-detection models, and automated remediation/rollback systems for payment APIs and transaction flows.
Domain
Financial services / Application Operations / MLOps
Deliverable
production ML models
Required skills
Python, TensorFlow/PyTorch/scikit-learn, LLM-based log parsing and summarization, workflow orchestration, rollback design, production incident debugging
Preferred skills
Model-driven root-cause analysis, AI evaluation frameworks, event correlation, model governance documentation, enterprise AIOps platforms (Moogsoft, BigPanda, Dynatrace)
Technologies
Python, TensorFlow, PyTorch, scikit-learn, LLMs, Moogsoft, BigPanda, Dynatrace
Responsibilities
Build high-throughput ingestion pipelines for logs and transaction events; train and tune anomaly-detection and forecasting models; design event correlation and probable-cause ranking logic; write and test versioned remediation automation with rollback capabilities; monitor models and automations in production; participate in on-call rotation for live actions.
Seniority
Senior, hands-on IC
