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Tier-1 brand, Bengaluru metro, senior ML title and broad skillset drive high applicant competition.
Advanced ML/GenAI and production MLOps focus favors ML backgrounds, limiting cross-industry transfer slightly.
Explicit 9–10 years plus deep ML, production deployment, and agentic/GenAI tooling make shortlisting strict.
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Lead research and development of AI and machine learning models, including design, implementation, optimization, and deployment in production environments.
Architect scalable, efficient AI/ML solutions collaborating with cross-functional teams and oversee integration with existing systems.
Provide technical leadership, mentor junior team members, conduct design reviews, and present strategic insights to senior stakeholders.
Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or related quantitative discipline.
9-10 years of professional experience in AI and machine learning domain.
Proficiency in programming languages such as Python, R, or Java, with experience in ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Hybrid work model requiring approximately 2 days per week onsite at HPE office (location: Not explicitly mentioned in the JD).
Experienced in advanced machine learning and deep learning techniques including neural networks, transfer learning, and generative models.
Strong strategic thinker with ability to translate complex AI/ML research into practical, scalable solutions for business impact.
Proven technical leadership and mentorship experience in cross-functional, fast-paced environments involving production-level AI/ML systems.