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Tier-1 brand, metro location, and broad ML skillset increase candidate competition.
Highly specialized ML/AI and deep learning expertise limits cross-industry transferability.
Explicit 9-10 years plus mandatory ML/Gen-AI, production and framework expertise make filters very strict.
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Design, develop, and deploy scalable AI and machine learning models addressing complex problems and business requirements.
Lead and mentor junior and mid-level team members while setting technical standards and conducting design reviews.
Monitor and optimize model performance post-deployment and provide strategic insights to senior stakeholders.
9-10 years of relevant experience in AI and machine learning.
Bachelor's or Master’s degree in computer science, engineering, data science, machine learning, AI, or closely related quantitative discipline.
Strong proficiency in Python, R, or Java with experience in production-level code and software engineering practices.
Hybrid work model requiring approximately 2 days per week onsite at HPE office.
Experienced in advanced machine learning techniques, including deep learning architectures, transfer learning, and generative models.
Demonstrated ability to lead technical teams and collaborate cross-functionally to align technical solutions with business objectives.
Up-to-date with state-of-the-art AI/ML research and capable of applying emerging technologies such as agentic frameworks and lineage tracking to production AI systems.