Description
We are seeking a Principal Engineer for Data Science & Analytics to serve as the premier technical authority bridging advanced machine learning, GenAI, and big data analytics with HPE's next-generation cloud and storage ecosystem (HPE GreenLake and hybrid cloud).
As a Principal Engineer for Data Science & Analytics, you will lead the architectural strategy to extract, analyze, and operationalize intelligence from vast telemetry data pipelines generated by enterprise file, block, and object storage systems.
Responsibilities:
- Define the organization-wide data architecture strategy and analytical roadmaps for software systems running across HPE's hybrid cloud platform.
- Design, deploy, and scale machine learning and deep learning code to run reliably in worldwide production edge-to-cloud environments.
- Collaborate with data engineering to establish standardized ELT patterns, big data storage views, and high-throughput, low-latency streaming pipelines.
- Integrate advanced LLM workflows, Retrieval-Augmented Generation (RAG), and agentic systems into storage customer support analytics and digital products to automate troubleshooting.
- Partner with product management, storage hardware engineers, and business executives to translate abstract business challenges into production-ready analytical solutions.
- Provide career guidance, conduct design reviews, and actively mentor senior engineers and data scientists across multiple Scrum teams.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a highly technical, data-oriented discipline.
- 10+ years of proven industry experience in software product development or enterprise data science, with a heavy emphasis on distributed systems, storage, or cloud infrastructure architectures.
- Advanced mastery of machine learning algorithms and deep learning frameworks.
- Expert Python/Go-lang programmer with strong working knowledge of data structures, algorithmic complexity, and multi-threaded/multi-process programming.
- Concrete experience building and fine-tuning LLMs, prompt engineering, and leveraging vector databases.
Benefits:
- Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
- Investment in your career with programs catered to helping you reach your career goals.
- Unconditionally inclusive work environment that celebrates individual uniqueness.