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Tier-1 brand, Bangalore metro, mid-level ML role draws many qualified applicants.
Core ML skills are broadly transferable across industries despite HPE networking product context.
Explicit 4–9 years plus mandatory ML, deep learning, and production experience increases filtering.
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Develop, optimize, and scale AI/ML algorithms and solutions to improve product/system performance and automate processes, focusing on large-scale data and complex problems.
Lead design, architecture, and implementation of AI solutions considering scalability, performance, and maintainability; provide technical guidance and mentorship to junior team members.
Collaborate cross-functionally with stakeholders for successful AI/ML project execution, conduct advanced research, and drive continuous innovation in AI/ML applications.
Bachelor's degree in Computer Science, Engineering, Data Science, AI, ML, or a related quantitative discipline; Master’s degree desirable.
4-9 years of professional experience in AI and Machine Learning engineering or related fields.
Proficiency in programming languages like Python, R, or Java, and experience with ML frameworks such as TensorFlow, PyTorch, sci-kit, or Keras.
Must work onsite primarily from an HPE office as per role design.
Experienced in designing and implementing scalable, maintainable AI/ML solutions with a strong foundation in mathematics, statistics, and advanced machine learning techniques including deep learning.
Demonstrates technical leadership by mentoring junior team members, reviewing code/designs, and providing strategic technical guidance within multidisciplinary teams.
Proven ability to translate complex technical specifications into production-level code and present technical concepts clearly to both technical and non-technical stakeholders.