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Tier-1 brand, generalist ML title, 2–4 years band, and Bangalore location increase candidate competition.
Core ML engineering skills and frameworks are broadly transferable across industries.
Explicit 2–4 years plus required ML frameworks, programming skills, and production deployment experience.
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Design, develop, and implement machine learning models and algorithms to solve business problems.
Prepare and preprocess large datasets including cleaning, normalization, and feature extraction for machine learning tasks.
Collaborate with cross-functional teams to iterate models, present work in design reviews, and communicate findings to stakeholders with guidance.
Bachelor's degree in computer science, engineering, data science, machine learning, AI, or related quantitative discipline; Master's degree desirable.
Typically 2-4 years of experience in AI/ML roles.
Proficiency in programming languages like Python, R, or Java, and knowledge of machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or Keras.
Hybrid work requirement: Approximately 2 days per week onsite at an HPE office.
Experience designing, training, and evaluating machine learning models including hyperparameter tuning and cross-validation.
Good understanding of mathematics and statistics relevant to machine learning.
Ability to work independently within an established framework while contributing to team design reviews and stand-up meetings, with moderate supervision.