Applied Machine Learning Engineer

Applied Machine Learning Engineer

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here.

We have the flexibility to manage our work and personal needs.

We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you.

Open up opportunities with HPE.

Job Description:

Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications.

Can work with large scale computing frameworks, data analysis systems, and modeling environments.

Uses machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy.

Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code.

Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations.

Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.

Contributes to the success of HPE's AI software products by ensure those products can be used to build sophisticated machine learning applications.

In this role you'll use the product, identify friction points, and implement changes to remove those friction points.

Responsibilities:


* Improve integrations: You will develop and improve existing integrations between different open-source ML & AI tools-like MLFlow, OpenWebUI, and Spark-on a proprietary AI software platform built ontop of kubernetes.

You will extend features that are part of our AI software platform to behave consistently across all integrated applications.


* New integrations: With product manager guidance, you will research how emerging, open-source AI tools and explore how to integrate them into our kubernetes stack.


* Be our first customer: You will build applications composed of the open-source tools in our stack to discover friction points and offer both ergonomics and integrations feedback.


* Cross-collaboration: You'll work across multiple teams to brainstorm, design, and develop solutions to our business problems

Must Haves


* Kubernetes experience


* Strong computer networking skills-HTTP, TLS


* Bachelors or greater in CS or a related field OR ...