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Tier-1 brand plus Bangalore metro raise competition, but senior specialized ML focus reduces applicant pool.
Requires deep ML/GenAI expertise and senior technical leadership, limiting cross-industry transferability.
Explicit 9–10 years requirement, seniority, and specialized ML/GenAI tech make shortlisting highly strict.
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Lead design, development, deployment, and optimization of machine learning and AI models on large datasets ensuring scalability, efficiency, and robustness.
Collaborate cross-functionally to translate business requirements into AI/ML solutions and provide technical leadership including mentoring junior team members.
Monitor deployed models in production, analyze performance metrics, and drive continuous improvements; present technical insights to senior stakeholders.
9-10 years of professional experience in AI and Machine Learning.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, Artificial Intelligence, or related quantitative discipline.
Proficiency in Python, R, or Java with experience in production-level code and ML frameworks (TensorFlow, PyTorch, sci-kit).
Hybrid work model requiring at least 2 days/week onsite at HPE office.
Experienced in advanced machine learning including deep learning architectures (CNNs, RNNs, transformers) and agentic frameworks like langGraph, with knowledge of lineage tracking tools (e.g., langfuse, langsmith).
Strong background in mathematical foundations (linear algebra, calculus, probability, statistics) and complex model design, selection, and tuning.
Demonstrated ability to lead design reviews, technical mentorship, and communicate strategic AI/ML insights to senior stakeholders effectively.