HPE Off Campus Drive 2026 – AI/ML Engineer

HPE Off Campus Drive

HPE Off Campus Drive 2026 – Details:

Detailed Eligibility:

AI/ML Engineer:

• Designs, develops and implements AI and machine learning models. This includes data pre-processing, feature engineering, algorithm selection, model training, and evaluation.
• Gathers and analyzes relevant data sets to train and test machine learning (ML) models.
• Understands data analysis techniques, statistical methods, and data visualization to gain insights from the data and make informed decisions.
• Optimizing algorithms and models to improve their performance is an essential responsibility for AI and Machine Learning Engineers.
• This involves fine-tuning hyperparameters, conducting experiments, implementing optimization techniques, and employing feature selection or dimensionality reduction methods.
• Works closely with cross-functional teams, including data scientists, software engineers, product managers, and domain experts.
• Collaboration is crucial for understanding project requirements, aligning objectives, and integrating AI/ML solutions into existing systems or products.
• Keeping accurate and up-to-date AI and machine learning project documentation.
• Document work, including methodologies, code, and experimental results.
• Responsible for preparing reports and presenting findings or recommendations to stakeholders.
• Participates in regular design review sessions with the engineering manager, team leader, and other stakeholders to ensure that design choices align with project requirements and best practices.
• Actively seeks and incorporates feedback from the engineering manager or team leader during the design and implementation phases to ensure continuous improvement and adherence to project goals.
• Attends daily or weekly stand-up meetings led by the engineering manager or team lead providing updates on progress, discuss challenges, and coordinate efforts with other team members.
• Prepares and delivers detailed presentations and reports to stakeholders as directed by the engineering manager and team lead, ensuring that complex technical information is communicated clearly and effectively.
• May be required to interpret and report data findings and maintain or update specific business intelligence tools, databases, dashboards, systems, or methods.

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