AI/ML Engineer (Hybrid)
Core
Design and implement scalable AI/ML solutions for cloud operations, including AI agents for resource optimization, predictive models for cost anomaly detection, and automated operational workflows.
Role type
Senior IC AI/ML Engineer (Cloud Operations)
Builds
Cloud management platforms, AI-driven automation agents, and predictive analytics pipelines for Cisco's public cloud infrastructure.
Domain
Cloud Infrastructure & Operations (AWS, GCP, Azure)
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed application design, AI agent development, predictive modeling, ETL pipeline orchestration, cloud-native data processing, code review leadership
Preferred skills
Full stack development (Angular/Flask), streaming data handling, CI/CD implementation, Agile/DevOps modeling
Technologies
AWS Glue, AWS Athena, Snowflake, Apache Airflow, PyTorch, TensorFlow, Scikit-Learn, Python, PySpark, Golang, Bash
Responsibilities
Design and implement highly scalable, multi-threaded, and distributed applications; Design and implement AI Agents to monitor and optimize cloud resources; Integrate AI-driven insights with Cloud Service Providers; Develop predictive models for drift detection, cost anomaly detection, and forecasting; Automate operational workflows using machine learning and intelligent scripting; Design, build, and maintain scalable ETL pipelines
Seniority
Senior, hands-on IC with mentorship responsibilities