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Specialist - Knowledge Management (Mechanical Troubleshooting)
Nordex Group
Develop & manage AI-driven wind turbine troubleshooting knowledge base
2d ago
Intermediate (4-7 years), Experienced (8-12 years)
Full Time
Chennai, Tamil Nadu, India
Office Full-Time
Company Size
8,500 Employees
Service Specialisms
Wind turbine manufacturing
Project management
Servicing of wind turbines
Turnkey installation
Compliance & ethics consulting
Investor relations communications
Sector Specialisms
Onshore Wind Energy
Wind Turbine Manufacturing
Wind Farm Development
Project Management
Wind Turbine Servicing
Renewable Energy
Energy Utilities
Energy Infrastructure
Role
What you would be doing
knowledge base
ai troubleshooting
data capture
performance evaluation
team collaboration
process development
- Develop and maintain a structured knowledge base that serves as the foundation for an AI-powered troubleshooting assistant for wind turbines
- Collaborate with cross-functional teams to translate expert knowledge into machine-readable formats
- Ensure that the knowledge base is accurate, up-to-date, and easily accessible to relevant stakeholders
- Continuously evaluate the performance of the AI-guided troubleshooting system and refine knowledge assets based on user feedback and system analytics
- Work closely with cross-functional teams to identify gaps and capture knowledge related to wind turbine troubleshooting
- Develop and implement processes for capturing, organizing, and sharing knowledge
What you bring
engineering degree
5 years
wind turbine
knowledge management
ai/ml
problem solving
- Bachelor’s degree in Engineering (Mechanical, Electrical, or related field). Minimum of 5 years of experience in wind turbine technology, with a strong understanding of troubleshooting and maintenance practices
- 'Proven experience in knowledge management, particularly in environments involving AI or digital tools
- Strong analytical and problem-solving skills with the ability to structure complex technical information clearly and logically
- Understanding of industry standards and regulations relevant to wind turbine operations and safety
- Experience with knowledge base platforms, content management systems, or semantic data modelling is desirable
- Excellent communication and interpersonal skills, with the ability to work across technical and non-technical teams
- Familiarity with AI/ML concepts, natural language processing, or expert systems is a strong plus
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Training + DevelopmentInformation not given or found
Interview process
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Company
Overview
Found in 1985
Year Established
The company was established in 1985 as a leader in renewable energy solutions.
30+ Countries
Global Presence
Operates in over 30 countries, supporting renewable energy initiatives worldwide.
- Specializing in onshore and offshore wind energy solutions, the company focuses on providing sustainable energy systems.
- The company has a strong presence in Europe, North America, and parts of Asia, helping communities transition to clean energy.
- Noteworthy projects include large wind farms in offshore and remote locations, contributing significantly to the renewable energy sector.
- The company’s turbines are designed for high efficiency in varying climatic conditions, making them ideal for diverse terrains and environmental settings.
- The company’s expertise spans turbine production, project development, and maintenance services, ensuring long-term sustainability.
- Their commitment to innovation drives the development of cutting-edge technology, such as advanced digital wind farm solutions and automation.
- Integrity
- Respect
- Colleagueship
- Ownership
~69.1M tonnes COâ‚‚e avoided
Emissions Avoided in 2023
Achieved through wind turbines and renewable energy installations.
4.7‑4.9 g CO₂e/kWh
Turbine Efficiency
Low greenhouse gas emissions per kilowatt-hour for turbines.
42% Scope 1/2, 25% Scope 3 reduction
2030 Targets
Ambitious short-term emission reduction goals across operational emissions.
90% total emissions reduction
2050 Target
Long-term commitment to net-zero emissions, complemented by offsetting.
- Science‑based emission targets validated by SBTi on 21 August 2024
- Achieved LTIF of 1.2 in 2023 (target <1.5)
- Since 2021, procurement of 100 % green electricity in operations
- Lifecycle analyses for all relevant turbines; full recyclability of rotor blades targeted by 2032
- Implemented Green Electricity Policy in 2023 to ensure global use of green electricity in operations
25% female
Representation Target
Aim for at least 25% female representation in management roles to promote gender diversity.
- Works with people of different genders, ages, cultural backgrounds, attitudes and lifestyles
- Sets gender equality targets across all levels via Diversity & Inclusion Policy and Human Rights Policy
- Established Diversity & Inclusion Council chaired by CEO to drive D&I strategy
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