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Senior Applied Machine Learning Engineer
United States
Full-time
2 weeks ago
$117,000 - $154,000 USD
H1B Sponsor
Key skills
Kubernetes experienceBackend programming (Go/Python)Machine Learning OperationsAI tooling familiarityData EngineeringGreat communicatorCross Domain KnowledgeDesign ThinkingDevelopment FundamentalsFull Stack DevelopmentIT PerformanceScalability TestingSecurity-First MindsetPythonGoAIMachine LearningMLLangChainMLflowKubeflowSparkAirflowKubernetesLeadershipTeam LeadershipCommunicationCollaboration
About this role
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. The Senior Applied Machine Learning Engineer will develop and program integrated software algorithms to analyze and leverage data, utilizing machine learning techniques to enhance product performance and contribute to AI/ML product development.
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
Requirements:
- 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
- Experience building RAGs
- Experience using or building MCP Servers
- 2+ years technical leadership experience