GenAI and MLOps Intern - Spring 2025 - Nvidia

Digital Marketing Org focuses on managing the digital presence of NVIDIA. We are responsible for implementing digital marketing strategies across various channels, including SEO, social media, content marketing, and paid campaigns. The team optimizes the company’s website and web apps, drives online traffic, engages customers, and analyses performance to improve ROI and support business growth.

Want to make a difference? Come join our team!

What you’ll be doing:

• Support the design, development, and deployment of LLMs and innovative systems like AI-Agents.
• Perform prompt engineering and experimentation to optimize model outputs tailored to real-world business use cases.
• Collaborate with team members to integrate AI models seamlessly into production environments.
• Develop and maintain Continuous Deployment (CI/CD) scripts for automated provisioning of environments
• Manage various cloud services and monitor their effectiveness for optimum usage & continuous availability
• Understanding of release and build management.

What we need to see:

• Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field.
• Basic understanding of cloud platforms (AWS, Azure, or Google Cloud) for deployments.
• Knowledge of technologies like Docker, Kubernetes
• Knowledge with Linux / Windows administration and shell scripting
• Good knowledge of RDBMS/NoSQL/Vector databases
• Knowledge of automating build and deployments with GitHub and Jenkins
• CI/CD concepts (maintaining dev/test/prod environments, Jenkins/Azure Pipelines/GitHub Actions, deploying artifacts)
• Good understanding of Gen-AI, Natural language processing (NLP), Retrieval Augmented Generation, AI Agents is appreciated.
• Knowledge of setting up production, staging and dev environments on AWS/GCP/Azure/OpenStack

Ways to stand out from the crowd:

• Hands-on experience through projects, internships, or research in machine learning, data science, or artificial intelligence.
• Process of integrating data science models (stitching together training data, understanding classes of data science projects, training/testing, model evaluation etc.)

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Last updated: 23 hours ago