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Generative AI Engineer - Hewlett Packard Enterprise HPE
AI Engineer
Lead the design and deployment of generative AI solutions using Python and PyTorch, leveraging cloud services and containerization to deliver scalable, high‑performance models that transform data into actionable insights.
About the role
Key Responsibilities
- Design, develop, and optimize generative AI models (e.g., diffusion, transformer‑based) using Python and PyTorch.
- Implement prompt‑engineering strategies to improve model output quality and relevance.
- Deploy models to cloud platforms (AWS SageMaker, GCP Vertex AI) and manage CI/CD pipelines with Docker and Git.
- Collaborate with data scientists and product teams to integrate AI capabilities into enterprise applications.
- Monitor model performance, conduct A/B testing, and iterate on architecture for scalability and efficiency.
Requirements
- 3+ years of experience in AI/ML engineering with a focus on generative models.
- Experience with Docker, Git, and CI/CD workflows.
- Excellent problem‑solving skills and ability to work collaboratively in a hybrid environment.
Skills
pythonpytorchawsdocker