Job Description

Principal Engineer - AI/ML


This role has been designed as ''Onsite' with an expectation that you will primarily work 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.

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In the HPE

Hybrid Cloud

, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what's next for you.

Job Family Definition:

The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems.


Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.


Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.


The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.


To strengthen and expand our AI/ML offerings, we are looking for a Principal Machine Learning Engineer - Tech Lead, to design and develop solutions using AI tools and machine-learning models that have a big potential for value and scale at HPE.


As a Principal Machine Learning Engineer - Tech Lead, you will be responsible for driving the roadmap and building the next generation Machine Learning Platform and Machine Learning Models/Algorithms that our userbase will use for years to come as we scale our efforts to implement machine learning in our Product. You should be comfortable with petabytes of data, writing crisp design documentation, and building, debugging, and maintaining highly available distributed systems. The Machine Learning platforms that you build will empower developers throughout HPE to build better ML products more quickly than ever before. You will be at the forefront of development, research, and implementation of innovative machine learning models and pipelines.


The ideal candidate should have a strong background in applied machine learning approaches and production-level engineering. You should have excellent problem solving and communication skills, and be comfortable working with data scientists, product managers, and other engineers. You should have a passion for creating machine learning products and be able to think through the implications of the solutions you create. A successful candidate should have an advanced degree in computer science, mathematics, engineering, or a related field, and have a strong portfolio of ML projects.


You should design and build highly scalable systems, machine learning algorithms and deep learning applications. You should be able to execute tests and optimize machine learning models and algorithms. Also should be able to mentor and guide other ML Engineers in the team.

What you will do:

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.
Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations. Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture. Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. Provides mentoring to others to set an example of software systems design and development innovation and excellence. Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

What you will need:

Education and Experience Required:


Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline.


Typically, 10-15 years' experience.


Knowledge and Skills:

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.

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

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 catered to helping you reach any career goals you have -- whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.


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Job:

Engineering

Job Level:

TCP_05

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.