Data Science Architect – Data Center AI Operations We are looking for a Data Science Architect to design and own the AI/ML platform strategy for next-generation data center operations management. This role will define how intelligence is embedded into infrastructure operations management for a world-class hyperscale data center operator.
Shift Time: 2:30PM- 11:30PM IST
Key Responsibilities Architect end-to-end AI/ML platforms for data center operations: predictive maintenance, thermal optimization, power efficiency (PUE/WUE), and capacity planning Design AIOps pipelines integrating DCIM, BMS, SCADA, and CMDB data sources Evaluate and standardize ML frameworks, feature stores, model registries, and MLOps tooling Guide data scientists on model design, validation methodology, and production deployment Define data quality, lineage, and observability standards for operational data Engage with CyrusOne stakeholders to translate operational challenges into AI use cases and roadmaps Must-Have Profile 14-18 years; 5+ years in data science / ML architecture roles Strong background in time-series analysis, anomaly detection, or reinforcement learning for physical systems Experience in industrial IoT, data center, or critical infrastructure analytics is a strong plus Proficient in Python, ML frameworks (TensorFlow/PyTorch/XGBoost), and cloud ML platforms (Azure ML, AWS SageMaker) Familiarity with DCIM platforms (Schneider EcoStruxure IT, Nlyte, or Sunbird) desirable