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Nvidia Field Applications Engineer Taiwan, Taipei 46082889
16.02.2025
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What you’ll be doing:
Ways to stand out from the crowd:
- 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.
- 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 onAWS/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.)
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