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Tier-1 brand, metro location, mid-level ML role, and broad technical requirements increase applicant competition.
Requires advanced ML/deep learning and production experience, limiting cross-industry portability.
Explicit 4–9 years plus advanced ML, deep learning, and production engineering requirements make filters strict.
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Develop, design, and architect AI and machine learning solutions addressing complex business problems, ensuring scalability, performance, and maintainability.
Conduct advanced AI/ML research, stay updated on latest advancements, and integrate cutting-edge techniques into products and systems.
Provide technical leadership and mentorship; collaborate cross-functionally to translate requirements into AI/ML solutions and drive continuous innovation.
Bachelor's degree in computer science, engineering, data science, machine learning, AI, or closely related quantitative discipline; Master's desirable.
Work Experience Required: Typically 4-9 years in AI and Machine Learning roles.
Must have expertise in machine learning algorithms and deep learning (neural networks, CNNs, RNNs, transformers) and proficiency in Python, R, or Java.
Onsite work required at HPE office location.
Experienced in delivering scalable AI/ML solutions in enterprise environments with focus on production-grade software development.
Demonstrates strategic technical leadership including mentorship, design reviews, and cross-functional stakeholder engagement.
Strong foundation in advanced mathematics, statistical modeling, and hands-on knowledge of ML frameworks such as TensorFlow, PyTorch, or scikit-learn.