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Tier-1 brand, metro location, mid-level generalist ML title, and broad skill requirements increase competition.
ML engineering skills are transferable across industries but role requires domain-specific model and production experience.
Explicit 4–7 years, mandatory ML production experience and deep learning expertise create strict shortlisting filters.
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Lead design and architecture of scalable AI and machine learning solutions for complex business problems.
Conduct advanced AI/ML research to apply emerging techniques and drive continuous innovation.
Provide technical leadership and mentorship to junior team members and collaborate across functions to deliver AI projects.
Bachelor's degree in computer science, engineering, data science, machine learning, AI, or related quantitative field; Master's degree desirable.
Typically 4-7 years of relevant AI/ML experience required.
Proficiency in machine learning algorithms, deep learning, and programming languages such as Python, R, or Java; experience with TensorFlow, PyTorch, scikit-learn, or Keras is a plus.
Hybrid work model requiring 2 days per week onsite at HPE office.
Experienced AI/ML professional capable of independently leading complex solution design, integrating advanced algorithms and architectures like CNNs, RNNs, and transformers.
Demonstrates strong strategic thinking with ability to translate business requirements into technical solutions and drive innovation within a team.
Proficient communicator able to mentor technical teams and present complex concepts clearly to diverse stakeholders.