Intern, Generative AI for Predictive Analytics
Intern, Generative AI for Predictive Analytics
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Job Description
Role Overview
Are 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 youll gain hands-on experience working in an emerging technology environment that uses AI/Generative AI to tackle challenging real-world project use-cases. Specifically youll 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.
Qualifications :
What Were 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.
Additional Information :
Why Intern With Us
We dont just offer jobswe build careers. At Bosch youll 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 Steps
Our recruitment process typically includes:
- Application screening
- Interview(s) with Hiring Manager Business Leaders and HR
Ready to grow your career with Bosch Apply Now!
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
