Data & Artificial Intelligence - Internship - Curious Talent

优缺点分析

角色解读

• Transition into a full-time AI/ML engineer or data scientist role within Merck or other tech companies.
• Deepen expertise in generative AI, LLMs, and cloud-native AI solutions.
• Progress toward leading AI initiatives or specializing in a healthcare domain.
• Participate in AI projects to solve real business problems in healthcare, life science, or electronics.
• Develop and deploy machine learning models using Python and scikit-learn, with potential exposure to cloud platforms and generative AI.
• Collaborate with business architects and other developers in a team-oriented environment.
• Strong programming skills in Python and familiarity with scikit-learn are essential.
• Basic experience with cloud platforms (AWS, GCP, or Azure) is helpful for project deployment.
• Curiosity and creative problem-solving ability are key to addressing business challenges.

申请策略

• Tailor your application to highlight problem-solving and curiosity, aligning with Merck's 'curious minds' culture.
• Learn about Merck's healthcare, life science, and electronics segments to show genuine interest.
• Emphasize Python programming projects, especially those using scikit-learn or other ML libraries.
• Highlight any experience with cloud platforms (AWS, GCP, Azure) even from coursework or personal projects.
• Showcase projects involving generative AI or LLMs, such as fine-tuning or deploying models.
• Strengthen Python and scikit-learn skills by completing online courses or building small ML models.
• Get familiar with at least one major cloud platform (AWS free tier is a good start) and basic cloud services.

面试指南

• For technical questions, use the STAR method (Situation, Task, Action, Result) to structure your answer.
• For collaboration questions, emphasize active listening, clear communication, and adaptability.
• Describe a time you used Python to solve a complex problem.
• Explain how you would deploy a machine learning model to the cloud.
• What experience do you have with generative AI or large language models?
• How do you collaborate with team members who have different technical backgrounds?
• Review fundamental ML algorithms and practice implementing them with scikit-learn.
• Prepare a brief demo of a project you've worked on, highlighting your role and the impact.