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Strong brand, metro location, mid-level generalist ML title increase applicant competition.
Core ML engineering skills transfer across industries, but domain data expertise is often required.
Explicit 4–7 years plus required ML/DL and production skills create stringent filters.
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Conduct advanced AI and machine learning research to apply cutting-edge techniques for complex business problems.
Design and architect scalable, high-performance AI solutions, ensuring maintainability and alignment with business requirements.
Provide technical leadership and mentorship, collaborate with stakeholders and cross-functional teams to implement AI/ML projects and drive continuous improvement.
Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or related quantitative discipline; Master’s degree desirable.
4-7 years of relevant work experience in AI and machine learning roles.
Proficiency in programming languages such as Python, R, or Java; experience with software engineering best practices and ML libraries/frameworks (e.g., TensorFlow, PyTorch) is expected.
Hybrid work model requiring approximately 2 days/week onsite at HPE office.
Experienced in designing and implementing complex AI/ML models, including deep learning and reinforcement learning techniques.
Strong foundation in mathematics, statistics, and algorithm development applied to real-world solutions.
Capable of independently leading projects, influencing stakeholders, and mentoring junior team members in a collaborative, cross-functional environment.