AI/ML Engineer

Employment Type: Full-time Location Type: Onsite

Position Overview:

Hewlett Packard Enterprise (HPE) is a global edge-to-cloud company dedicated to advancing how people live and work. We empower companies to connect, protect, analyze, and act on their data and applications across all environments, from the edge to the cloud, enabling them to transform insights into outcomes at the speed required to thrive in today's complex world. Our culture is built on innovation, embracing diverse backgrounds, and providing the flexibility to manage work and personal needs. We encourage bold moves and strive to be a force for good, offering opportunities for career growth and development.

This role is designed as "Onsite," with the expectation of primarily working from an HPE office.

Job Family Definition:

The Cloud Developer is responsible for building mission-critical applications from the ground up, employing innovative approaches to deliver end-to-end technical solutions that address customer challenges. This role involves breaking down complex data, engineering new ideas, and prototyping, designing, and implementing cloud-based solutions. Collaboration with project managers and development partners is key to ensuring the effective and efficient delivery, deployment, operation, monitoring, and support of cloud engagements. The Cloud Developer contributes business value expertise to drive the development of innovative service offerings that enhance HPE's Cloud Services portfolio across multiple systems, platforms, and applications.

Management Level Definition:

Contributions regularly and sustainably impact the technical components of HPE products, solutions, or services. This role requires advanced subject matter knowledge to solve complex business issues and is recognized as a subject matter expert. The individual will provide expertise and partnership to functional and technical project teams and may engage in cross-functional initiatives. Significant independent judgment is exercised to determine the best methods for achieving objectives. This role may also involve providing team leadership and mentoring.

Responsibilities:

• Experiment, design, develop, and maintain machine learning models and pipelines with high potential for value and scale.
• Collaborate with other ML engineers, data scientists, product managers, and engineers to ensure successful implementation of machine learning solutions.
• Conduct research and testing to develop or customize machine learning algorithms.
• Perform model training and evaluation as needed.
• Integrate, test, tune, and monitor developed solutions.
• Research and evaluate new technologies and tools for machine learning.
• Maintain and update existing machine learning systems.
• 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 to build and continuously improve cutting-edge machine learning models.
• Lead project teams in the design and development of complex products and platforms, including solution design, analysis, coding, testing, and integration for building efficient, scalable, and robust cloud subsystems.
• Review and evaluate designs and test plans, and develop code in compliance with cloud design and development guidelines and standards.
• Provide tangible feedback to improve product quality and mitigate risks.
• Represent the engineering team in various technical forums, providing guidance and mentoring to less-experienced team members.
• Drive innovation and integration of new technologies into projects and activities within the software systems design organization.
• Analyze science, engineering, business, and other data processing problems to develop and implement solutions for complex application problems, system administration issues, or network concerns.

Company Information:

Hewlett Packard Enterprise (HPE) 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.