About the job
We are seeking a motivated student or fresh graduate for a 6-month internship to help build an intelligent monitoring and analytics system for our autonomous vehicle fleet. In this role, you will build a data pipeline and a monitoring tool that helps identify potential issues early.
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Key Responsibilities
- Build a data pipeline to collect and structure vehicle sensor telemetry for analysis
- Develop a monitoring model and dashboard that flags potential issues early
- Maintain clean, documented code with proper API integration practices
- Write comprehensive user documentation and training materials
- Conduct a training session for the operations team on using the tool
Qualifications
- Fresh graduate or final year student in Computer Engineering, Computer Science, Artificial Intelligence, Software Engineering, Data Science, or related technical field
- Strong understanding of AI/ML concepts and rule-based or trend-based analysis
- Familiarity with Python programming language
- Basic understanding of APIs and web services
- Familiarity with data analysis (e.g., pandas/NumPy) and basic charting or dashboard-building
- Strong problem-solving skills and ability to learn new technologies quickly
- User experience (UX) mindset and ability to design intuitive interfaces
- Ability to identify automation opportunities and translate them into technical solutions
- Strong communication skills to understand user needs and workflows
What We Offer
- Hands-on experience building production AI systems used in autonomous vehicle operations
- Direct collaboration with Technology Innovation Institute (TII) AI Center
- Exposure to real-world AI challenges in the autonomous vehicle industry
- Professional development in data engineering and applied analytics
- Collaborative environment with AI researchers and autonomous robotics experts
- Hands-on ownership of an analytics pilot, from data pipeline to working dashboard
