AI and Machine Learning Engineering Graduate

About the role

This position is designed as “Onsite” with an expectation that you will primarily work from an HPE office. Hewlett Packard Enterprise is the global edge‑to‑cloud company advancing the way people live and work, helping customers connect, protect, analyze, and act on data wherever it resides.

Responsibilities

• Design, develop, and implement AI and machine learning models, including data pre‑processing, feature engineering, algorithm selection, model training, and evaluation.
• Gather and analyze relevant data sets to train and test machine learning models; apply data analysis techniques, statistical methods, and data visualization to gain insights.
• Optimize algorithms and models to improve performance through hyper‑parameter tuning, experiments, optimization techniques, and feature selection or dimensionality reduction.
• Collaborate closely with cross‑functional teams—including data scientists, software engineers, product managers, and domain experts—to understand requirements, align objectives, and integrate AI/ML solutions into existing systems or products.
• Maintain accurate and up‑to‑date project documentation, including methodologies, code, and experimental results.
• Prepare reports and present findings or recommendations to stakeholders.
• Participate in regular design review sessions with the engineering manager, team leader, and other stakeholders to ensure design choices align with project requirements and best practices.
• Seek and incorporate feedback from the engineering manager or team leader during design and implementation phases.
• Attend daily or weekly stand‑up meetings to provide progress updates, discuss challenges, and coordinate efforts.
• Prepare and deliver detailed presentations and reports to stakeholders as directed, communicating complex technical information clearly.
• Interpret and report data findings and maintain or update business intelligence tools, databases, dashboards, systems, or methods as needed.

Education and Experience

Bachelor’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or a closely related quantitative discipline is required; a Master’s degree is desirable. Typically 0–2 years of relevant experience.

Knowledge and Skills

• Proficiency in programming languages such as Python, R, or Java.
• Experience with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit‑learn).
• Strong understanding of statistics, probability, linear algebra, calculus, and optimization methods.
• In‑depth knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, neural networks, reinforcement learning, and natural language processing.
• Ability to work with large datasets, including data pre‑processing, cleaning, and exploratory data analysis.
• Experience with SQL, databases, and data visualization tools such as Matplotlib or Tableau.

Benefits

• Health & Wellbeing: Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing for team members and their families.
• Personal & Professional Development: Programs and resources to help you grow expertise in your field or transition to new roles within the company.
• Unconditional Inclusion: An inclusive culture that celebrates individual uniqueness, offers flexibility to manage work and personal needs, and encourages bold collaboration.

Pay

Annual base salary range for the United States (North Carolina): USD 81,700 – 187,800. Variable incentives may also be offered.

HPE is committed to creating an inclusive and accessible workplace. If you require accommodation during any stage of the application or interview process, please submit a request through the secure accommodation form.