Industrial AI Professional
3 days ago
We are seeking an Industrial AI Professional to join our team in the industrial and power generation sector. The ideal candidate will have a deep understanding of data science, machine learning, and computational modeling, along with industry-specific knowledge in physics, material science, and engineering systems.
The successful candidate will work with stakeholders including engineers, operations managers, maintenance teams, and business strategists to develop data-driven solutions that enhance efficiency, reliability, and predictive maintenance of power generation assets.
Responsibilities- Data Analysis and Modeling:
- Develop and apply advanced statistical, machine learning, and optimization models to analyze large datasets from industrial and power generation systems.
- Identify patterns, trends, and anomalies in data to improve operational efficiency, predict equipment failures, and optimize energy consumption.
- Predictive Maintenance:
- Design and implement predictive maintenance models to reduce downtime and extend the lifespan of critical equipment.
- Collaborate with engineering teams to integrate predictive analytics into maintenance workflows.
- Process Optimization:
- Use data-driven approaches to optimize industrial processes, such as production lines, energy generation, and resource allocation.
- Apply simulation and optimization techniques to improve system performance and reduce costs.
- Stakeholder Collaboration:
- Work closely with cross-functional teams to understand business needs and translate them into data science solutions.
- Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner.
- Data Infrastructure and Tools:
- Develop and maintain scalable data pipelines and workflows to support analytics and modeling efforts.
- Evaluate and implement new tools, frameworks, and technologies to enhance data science capabilities.
- Research and Innovation:
- Stay up-to-date with the latest advancements in data science, industrial IoT, and power generation technologies.
- Explore innovative applications of AI/ML in areas such as renewable energy integration, grid stability, and material science.
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