AI Intern (Emiratization)
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Key skills for this role
About the Role
Siemens Energy is seeking an AI Intern to join the Predictive AI team in Abu Dhabi. You will support the development and evaluation of AI-driven solutions for industrial and energy-sector applications, including Agentic AI, time series analytics, and predictive maintenance.
Key Skills for This Role
Responsibilities
- Support the development, testing, and evaluation of AI and data analytics solutions for industrial applications
- Analyze operational and engineering datasets to identify patterns, trends, and optimization opportunities
- Contribute to machine learning, time series forecasting, anomaly detection, or predictive maintenance projects
- Assist in the design and evaluation of mathematical models for risk assessment and decision support
- Explore and prototype Agentic AI and generative AI applications relevant to engineering and business processes
- Prepare technical documentation, presentations, and reports to communicate findings and recommendations
Requirements
- Student pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related field
- Basic knowledge of Python and data analysis techniques
- Familiarity with machine learning concepts and data driven problem solving
- Strong analytical and problem solving skills
- Curiosity and willingness to learn new technologies and methodologies
- Good communication, presentation skills, and proficiency in English
Full Job Posting
A Snapshot of Your Day
- You will work alongside the Predictive AI team to support the development and evaluation of AI driven solutions for industrial and energy sector applications.
- Depending on your interests and project needs, you may contribute to topics such as Agentic AI, time series analytics, mathematical modeling for risk assessment, predictive maintenance, and other industrial AI use cases.
How You'll Make an Impact
- Support the development, testing, and evaluation of an AI and data analytics solution for industrial applications.
- Analyze operational and engineering datasets to identify patterns, trends, and optimization opportunities.
- Contribute to a machine learning, time series forecasting, anomaly detection, or predictive maintenance project.
- Assist in the design and evaluation of mathematical models for risk assessment and decision support.
- Explore and prototype Agentic AI and generative AI applications relevant to engineering and business processes.
- Prepare technical documentation, presentations, and reports to communicate findings and recommendations.
What You Bring
- Student pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related field.
- Basic knowledge of Python and data analysis techniques.
- Familiarity with machine learning concepts and data driven problem solving.
- Strong analytical and problem solving skills.
- Curiosity and willingness to learn new technologies and methodologies.
- Good communication, presentation skills, and proficiency in English.
About the Team
- Our Corporate Functions are essential in driving the company's strategic initiatives and ensuring operational excellence across various departments, business areas, and regions.
- These roles support our vision to become the most valued energy technology company in the world.
- As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external stakeholders, and conducting business responsibly and in compliance with legal requirements and regulations.
Rewards/Benefits
- Opportunities to work with a global team
- Opportunities to work on and lead a variety of innovative projects
- Continual learning through the Learn@Siemens Energy platform
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