Senior Applied Machine Learning Engineer

Senior Applied Machine Learning Engineer

  

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

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 by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.

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.
• Champion quality: You will will work engineering managers to prioritize integrations and ensure we stay on track in capacity planning.
• Lead: You may lead larger integration efforts and provide updates to the team leadership on progress and challenges.

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Must Haves

• Kubernetes experience
• Strong computer networking skills—HTTP, TLS
• Bachelors or greater in CS or a related field and 2 years experience OR 7 years of experience
• A year of professional experience in a backend programming language (preferably Go or Python)
• Great communicator: written and verbal. Tons of our communication is written and asynchronous
• Experience building scripts and workflows around LLMs
• Familiarity with AI tooling on kubernetes. One or more of: LangChain, LangFlow, Spark, Airflow, Kubeflow, MLFlow, KServe, Ray

Nice to Haves

• Experience building RAGs
• Experience using or building MCP Servers
• 2+ years technical leadership experience

 

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs ca