AI/ML Engineer
Hewlett Packard Enterprise (HPE)Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement machine learning models and algorithms to solve business problems.
Prepare and preprocess large datasets, including data cleaning, normalization, and feature extraction, for ML tasks.
Collaborate with cross-functional teams to gather requirements, present work, and iterate on ML solutions with supervision from engineering leadership.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, Machine Learning, AI, or a closely related quantitative discipline.
2-4 years of relevant experience in developing and implementing machine learning models.
Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
Work in a hybrid model requiring approximately 2 days per week onsite at an HPE office.
Ideal Candidate Profile
Has intermediate subject matter expertise to independently handle common ML technical problems within an established framework.
Experienced in handling real-world datasets and applying statistical and mathematical foundations to model development and evaluation.
Capable of communicating complex ML concepts effectively to both technical peers and non-technical stakeholders, contributing to design discussions and iterative development.