Chennai, tennessee, India
Information Technology
Full-Time
Synectics APAC
Overview
- Design, deploy, and maintain statistical and machine learning models to analyze real-time telemetry data from critical electrical systems, including Electrical Infrastructure Systems, Mission Critical Systems, Electrical Maintenance, Electrical Safety and Generators.
- Leverage expertise in electrical systems to understand equipment behavior, identify anomalies, and contribute to root cause analysis, including understanding key steps in electrical maintenance.
- Monitor and interpret model outputs to proactively identify and investigate early indicators of equipment degradation, performance deviations, and potential failures.
- Derive current, voltage, power, step-up/down and other electrical equations for the deployed systems based on the assets they are connected with (e.g., Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units) and apply statistical process control to identify power failures within the systems.
- Develop and implement monitoring logic and algorithms to proactively detect and alert on electrical anomalies.
- Collaborate closely with data center operations and engineering teams to validate detected anomalies, conduct comprehensive root cause analysis, and recommend effective corrective actions.
- Develop and manage insightful dashboards and reports to visualize key metrics and provide actionable insights to stakeholders.
- Continuously refine and enhance anomaly detection algorithms and monitoring logic based on new data, feedback from field operations, and evolving industry best practices.
- Document all findings, analysis methodologies, and resolution steps to contribute to a comprehensive knowledge base for the program.
- Bachelor's or Master's Degree in Electrical Engineering, Systems Engineering, or a related field, with demonstrated experience in Data Science, Computer Science Engineering, or equivalent.
- Proven experience in data analysis, statistical modeling, and machine learning.
- Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
- In-depth knowledge of data center electrical infrastructure, including Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units, Chillers, Air handling units, and CRAC units.
- Exceptional problem-solving abilities and the capacity to work both independently and as a vital member of a cross-functional team.
- Excellent communication skills, with the ability to translate complex data findings into clear, actionable recommendations for a non-technical audience.
- Proven experience in electrical power systems and a strong understanding of industrial power architecture.
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