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This role involves leading the innovation agenda and technology roadmap for HPE's Hybrid Cloud, managing the design, development, and product portfolio of the next-generation cloud platform, Green Lake. The Principal Machine Learning Engineer - Tech Lead will design and develop solutions using AI tools and machine-learning models, driving the roadmap and building the next generation Machine Learning Platform and Machine Learning Models/Algorithms.
Job Responsibility:
Experiment, design, develop and maintain machine learning models and pipelines with a high potential for value and scale
Collaborate with other ML engineers, data scientists, product managers, and other engineers to ensure successful implementation of machine learning solutions
Perform research and testing to develop or customize machine learning algorithms
conduct model training and evaluation as needed
integrate, test, tune and monitor the solutions developed
Research and evaluate new technologies and tools for machine learning
Maintain and update existing machine learning systems
Troubleshoot and debug machine learning systems
Work collaboratively with cross-functional partners and stakeholders, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact
Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases
Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models
Provide technical guidance and mentorship to other team members and interns
Identify areas of improvement in existing machine learning systems
Requirements:
Bachelor's or master’s degree in computer science, engineering, information systems, or closely related quantitative discipline
Typically, 10-15 years’ experience
Strong programming skills in Python, Java, Golang, or JavaScript
Deep expertise in software systems design, development methodologies, and integration across diverse platforms and technologies
Proficient in cloud-based security concepts like using identity and access management, firewalls, VPN, and in-plane switching systems
History of innovation with multiple patents or deployed solutions in software design
Excellent written and verbal communication skills
Ability to effectively communicate product architectures, design proposals, and negotiate options at business unit and executive levels
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