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Tier-1 brand, metro location, mid-senior ML role and broad skill requirements increase applicant competition.
ML engineering skills are broadly transferable across industries, lowering background sensitivity.
Explicit 7–10 years, advanced ML requirements, production deployment and leadership expectations make filters strict.
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Develop, implement, optimize, and deploy machine learning and deep learning models and algorithms for product and system applications, ensuring scalability, efficiency, and robustness.
Translate customer requirements and industry trends into AI/ML product improvements and solutions, collaborating cross-functionally to align designs and project goals.
Provide technical leadership, mentor junior team members, lead design reviews, and deliver strategic presentations to senior stakeholders.
7-10 years of relevant experience in AI and machine learning.
Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
Proficiency in programming languages such as Python, R, or Java, with experience writing production-level code and knowledge of version control (e.g., Git).
Onsite work requirement at HPE office location.
Strong expertise in machine learning algorithms, including regression, decision trees, SVM, random forests, and advanced deep learning architectures like CNNs, RNNs, and transformers.
Experience in applying cutting-edge AI/ML research and techniques to solve complex problems and improve model performance in production environments.
Demonstrated capability to lead technical teams, drive design and implementation standards, and communicate complex technical and business topics to senior stakeholders effectively.