## Responsibilities
- This internship provides a valuable experience for college students who are passionate about applied machine learning and data engineering
- You will work closely with data scientists and engineers to develop, optimize, and deploy machine learning models
- You'll collaborate with cross-functional teams to build scalable ML pipelines that support critical business objectives
- Gain hands-on experience working with large-scale datasets, including text, images, and structured data
- Design and implement data engineering pipelines to transform and enrich datasets for generative AI model training and evaluation
- Develop backend cloud engineering infrastructure that enables scalable AI/ML deployment and automation frameworks
- Stay up-to-date on the latest advancements in generative AI, AI Operations, and cloud computing
## Full Description
About Us
Johnson & Johnson is a global leader in healthcare innovation, empowering us to build a world where complex diseases are prevented, treated, and cured.
Our Innovative Medicine division is committed to developing treatments and finding cures for various diseases.
As a GenAI Data Science / AI Operations Intern, you will have the opportunity to contribute to real-world projects focused ontransforming healthcare through generative AI and data solutions.
This internship provides a valuable experience for college students who are passionate about applied machine learning and data engineering.
- You will work closely with data scientists and engineers to develop, optimize, and deploy machine learning models.
- You'll collaborate with cross-functional teams to build scalable ML pipelines that support critical business objectives.
Key Responsibilities
- Gain hands-on experience working with large-scale datasets, including text, images, and structured data.
- Design and implement data engineering pipelines to transform and enrich datasets for generative AI model training and evaluation.
- Develop backend cloud engineering infrastructure that enables scalable AI/ML deployment and automation frameworks.
- Stay up-to-date on the latest advancements in generative AI, AI Operations, and cloud computing.