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Hewlett Packard Enterprise

Machine Learning Graduate

Posted 3 Days Ago
Be an Early Applicant
In-Office
Central Singapore, SGP
Entry level
In-Office
Central Singapore, SGP
Entry level
Design, develop, and deploy machine learning models; preprocess and analyze large datasets; build scalable ML pipelines; fine-tune and monitor models in production; collaborate with cross-functional teams and communicate results to stakeholders.
The summary above was generated by AI
Machine Learning Graduate

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE partner/customer 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.

Job Description:

   

  • Design, develop, and implement machine learning models and algorithms to solve complex business problems.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate ML solutions into products.
  • Preprocess and analyze large datasets to extract meaningful insights and prepare data for modelling.
  • Optimize and fine-tune machine learning models to enhance performance, accuracy, and efficiency.
  • Conduct experiments and evaluate various machine learning techniques to identify the best approaches for specific use cases.
  • Develop and maintain scalable ML pipelines and infrastructure for deploying models in production environments.
  • Stay updated with the latest advancements in machine learning, artificial intelligence, and related technologies.
  • Write clear, maintainable code and create comprehensive documentation for ML models and processes.
  • Monitor and troubleshoot deployed models, ensuring they perform as expected in real-world settings.
  • Communicate findings, progress, and results to stakeholders through reports, presentations, and visualizations.

Education and Experience Required:

  • Must have a Bachelor’s degree in related fields.
  • Possess good knowledge and understanding in Machine Learning models and techniques
  • Good analytical and problem solving skills.
  • Knowledge in Gen AI will be an advantage

Additional Skills:

Cross Domain Knowledge, Design Thinking, Development Fundamentals, 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.

#singapore#grads

Job:

Engineering

Job Level:

TCP_01

    

    

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.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

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