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Hewlett Packard Enterprise is seeking an AI/ML Engineer who will design, develop, and maintain machine learning models and pipelines, collaborate with cross-functional teams, and drive innovation in cloud-based and machine learning solutions. Candidates should demonstrate proficiency in Python, familiarity with Golang, Kubernetes-managed environments, microservice architecture, and software system design.
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
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
lead project teams for 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, test plans, and develop code for 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 and provide guidance and mentoring to less-experienced team members
drive innovation and integration of new technologies into projects and activities in the software systems design organization
analyze science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.
Requirements:
Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline
typically, 7-10 years’ experience
strong programming skills in Python and preferrable familiarity with Golang
understanding microservice architecture and how they can be built in a containerized, Kubernetes-managed environment
designing and integrating software systems running on multiple platform types into the overall architecture
evaluating forms and processes for software systems testing and methodology, including writing and executing test plans, debugging, and testing scripts and tools
excellent written and verbal communication skills with the ability to effectively communicate product architectures and design proposals at senior management levels.
Nice to have:
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 offer:
Comprehensive suite of health and wellbeing benefits that supports physical, financial, and emotional wellbeing
specific programs catered to career goals for personal and professional development
unconditionally inclusive work environment where varied backgrounds are valued.
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