Remote Operations Centers > ROC Chennai > Global Predictive Monitoring
- NCE/APAC/MED

Responsibilities
- Primary duties will be monitoring and diagnosing the health condition of wind turbine gearboxes, main bearings, and generators to identify and highlight potential failures or damages before they occur
- Technical reporting of potential reliability issues and continuous coordination with Service Operations to follow up on system alerts and field actions
- Improve alert definitions and monitoring templates based on feedback from the field
- Drive knowledge sharing to promote effective technical solutions across teams
- Support Service Operations by interpreting predictive models to optimize maintenance strategies
- Contribute to continuous improvement initiatives to enhance monitoring capabilities and operational efficiency

Qualifications
- BE./B.Tech/M.E./M.Tech - Mechanical/ Electrical Engineer
- Level II or Level III Vibration Certification in accordance with ISO 18436-2
- 5+ years of experience in vibration analysis and condition monitoring,



with preferred exposure to SKF, BKV, or TCM technologies
- Strong knowledge of vibration software, data acquisition systems, sensors, and condition monitoring techniques

Competencies
- Expertise in gearbox, generator, and bearing failure modes, along with root cause analysis and fault diagnosis
- Effective stakeholder management with robust communication and presentation skills
- Proactive, structured, and self-motivated with a collaborative and result-oriented approach

What We Offer

We offer an exciting and international role with excellent opportunities for both professional and personal development in a dynamic environment at a leading global wind turbine manufacturer. We value initiative, accountability, and the ability to balance creativity with quality in all solutions. You will be part of a highly professional team with a strong technical focus and commitment.

Additional Information

Your primary site location

📌 Senior Engineer (Chennai)
🏢 Vestas
📍 Chennai