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Tier-1 employer, metro Bengaluru location, and broad ML requirements increase applicant competition.
Advanced ML, Gen-AI, and enterprise cloud deployment expertise moderately favor candidates with specialized AI backgrounds.
Explicit 10–15 years requirement plus deep ML, Gen-AI, and agentic framework expertise enforces stringent filters.
Design, develop, and deploy advanced machine learning models and AI system architectures ensuring scalability, performance, and reliability.
Lead AI research initiatives and innovation, including evaluating new algorithms and integrating AI solutions across teams.
Provide technical leadership, mentorship, conduct design reviews, and communicate AI strategies to executive stakeholders.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Machine Learning, AI, or closely related quantitative discipline.
Typically 10–15 years of relevant professional experience in technical or leadership roles.
Proficiency in machine learning frameworks (TensorFlow, PyTorch, sci-kit), programming languages (Python, Java, or C++), and agentic frameworks like langGraph or similar.
Hybrid work model with requirement to work approximately 2 days/week from an HPE office in India.
Experienced in leading AI research with a track record of filing patents and mentoring junior engineers.
Strong expertise in AI/ML algorithms, deep learning architectures (CNN, RNN, GAN), and production-scale AI system design.
Effective in cross-functional collaboration with product and engineering teams, and capable of strategic AI system planning and executive communication.