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Tier-1 employer, metro location, and wide required ML skillset increase applicant competition.
Strong ML engineering and enterprise cloud experience required, moderately limiting cross-industry transferability.
Explicit 10–15 years plus specialized ML, Gen-AI and leadership requirements enforce strict shortlisting.
Lead design, development, and deployment of advanced machine learning models and AI system architectures ensuring scalability and performance.
Drive research initiatives exploring new AI/ML approaches, conduct experiments, and innovate solutions.
Provide technical leadership and mentorship, coordinate cross-functional teams, and communicate AI strategies to executive stakeholders.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, Artificial Intelligence or related quantitative discipline.
10–15 years of overall relevant professional experience in technical or leadership roles.
Proficiency in machine learning frameworks (TensorFlow, PyTorch, sci-kit), programming languages (Python, Java, C++), and agentic frameworks (e.g., langGraph).
Hybrid work model requiring on-site presence at HPE office approximately 2 days per week.
Experienced in leading AI research initiatives and guiding teams within complex, hybrid IT service organizations.
Strong technical expertise across AI domains including supervised/unsupervised learning, deep learning, NLP, computer vision, and Gen-AI evaluation.
Capable of strategic architectural design and operationalizing AI solutions in scalable, production environments with cross-team collaboration.