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Tier-1 brand, metro Bengaluru, mid-level generalist ML role with broad skills increases candidate competition.
Core ML/AI skills are transferable, though networking domain knowledge slightly increases specificity.
Explicit 4–9 years plus specialized ML, deep learning, and production experience required.
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Design, develop, and optimize AI and machine learning algorithms and solutions for complex business problems, ensuring scalability, performance, and maintainability.
Provide technical leadership and mentorship to junior team members, including code review, design guidance, and best practices sharing.
Collaborate with cross-functional teams and stakeholders to translate requirements into AI/ML products, drive continuous innovation, and integrate emerging technologies or third-party tools.
Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or a closely related quantitative discipline; Master’s preferred.
4-9 years of relevant AI and machine learning engineering experience.
Proficiency in programming languages such as Python, R, or Java and experience developing production-level code with software engineering best practices.
Work Location: Onsite work at HPE office (location not explicitly specified).
Experienced in applying and optimizing advanced machine learning and deep learning algorithms (including neural networks, CNNs, RNNs, transformers).
Strong mathematical/statistical foundation and demonstrated ability to translate complex technical concepts for diverse stakeholders.
Skilled in technical leadership within cross-functional teams, capable of driving project design, innovation, and continuous improvement in AI/ML systems.