Philips, Internship: AI Tool Development

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Analyze Systems Engineering Processes: Collaborate with systems engineers to identify manual, time-consuming technical processes (e.g., Requirements Analysis and Management, Verification and Validation (V&V), Risk Management, Knowledge Management etc) that can be improved with AI solutions.
Develop AI tool Prototypes: Design and develop software prototypes and AI models (e.g., using Natural Language Processing (NLP) and Large Language Models (LLMs)) to automate or assist with systems engineering tasks.
Implement Tools: Write clean, efficient, and testable code (primarily in Python) to integrate AI components into existing systems engineering tools and platforms, ensuring compliance with security and governance standards.
Data Analysis & Model Optimization: Participate in the data collection, cleaning, and pre-processing stages, and assist in fine-tuning AI models for specific domain-related tasks.
Testing & Validation: Assist in testing and evaluating developed AI tools to ensure they meet performance metrics and functional requirements.
Documentation & Reporting: Maintain detailed documentation of AI model development, system architecture, and operational procedures, and prepare reports summarizing research outcomes.
Innovation: Continuously explore emerging AI technologies and research, and recommend enhancements to standard processes.

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