Intern, Generative AI for Predictive Analytics

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 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.

Qualifications

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.

Additional Information

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 Steps

Our recruitment process typically includes:

1. Application screening
2. Interview(s) with Hiring Manager, Business Leaders and HR

Ready to grow your career with Bosch Apply Now!