
Intern, Generative AI for Predictive Analytics
- Bishan, Singapore
- $1,200-1,400 per month
- Training
- Full-time
- Role OverviewAre you passionate about leveraging AI to solve real-world problems? We are looking for a motivated and enthusiastic individual to join our advanced development team as a GenAI research intern, where you'll gain hands-on experience working in an emerging technology environment that uses AI/Generative AI to tackle challenging real-world project use-cases. Specifically, you'll work on the use of GenAI for predictive analytics based on user input text using advanced techniques. This internship will provide valuable hands-on experience in a corporate environment, allowing you to contribute to ongoing projects while learning from experienced professional.As an AI Intern, you will support the following key tasks in collaboration with experienced team members.* What you will do (Key Responsibilities)Dive into Data: Conduct exploratory data analysis (EDA) and feature engineering on user text inputs to optimize AI model performance.Experiment and Innovate: Identify and experiment with suitable generative models and prompt engineering techniques for text-based predictive modeling on user input data.Conduct research: Explore new methodologies for leveraging GenAI in predictive analytics, validate models, and analyze experimental results to improve text-to-prediction pipeline performance.Document Your Journey: Meticulously document development processes, algorithms, and performance metrics for GenAI-based predictive systems, contributing to our knowledge base.
- What We’re Looking For (Qualifications & Skills)Able to work full time for a period of at least 6 months.Undergraduate/Postgraduate currently pursuing a Degree/Masters in Computer Science, Computer Engineering, or a related technical discipline with an emphasis on machine and/or deep learning.Knowledge and experience dealing with time-series, natural language processing, text analytics, and user input data (e.g., text preprocessing, sentiment analysis, named entity recognition, etc.).Experience with deep learning methods, frameworks and visualization tools: generative adversarial networks, transformer models, tensorflow/pytorch, scikit-learn, dash, python, github.Curiosity-driven, independent thinking, and data-centric style of argument construction.Highly resourceful in gathering data from reliable and trustworthy sources, and the ability to summarize new knowledge fast.
- Why Intern With Us?We don’t just offer jobs—we build careers. At Bosch, you’ll benefit from:* Real-world experience apply classroom knowledge to practical, real-life work scenarios* Skill-development build technical and soft skills while being part of the team “in-action”* Opportunities to network and learn from industry professionals* Inclusive culture built on respect, collaboration, and empowerment* Next StepsOur recruitment process typically includes:Application screeningInterview(s) with Hiring Manager, Business Leaders and HRReady to grow your career with Bosch? * Apply Now!
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