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Tier-1 brand, mid-level ML title, metro location, and broad skill requirements increase applicant competition.
Core ML and engineering skills are broadly transferable across industries, so background sensitivity is low.
Explicit 2–4 years experience, relevant degree, and mandatory ML/data skills make shortlisting moderately strict.
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Design, develop, and implement machine learning models and algorithms for business problem-solving.
Prepare and pre-process large datasets including cleaning, normalization, and feature extraction for machine learning tasks.
Collaborate with cross-functional teams to understand requirements and communicate complex concepts to non-technical stakeholders.
Bachelor's degree in computer science, engineering, data science, machine learning, AI, or closely related quantitative discipline; Master's degree desirable.
2-4 years of relevant experience in machine learning model development or related roles.
Proficiency in programming languages such as Python, R, or Java and familiarity with ML libraries/frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
Hybrid work model requiring approximately 2 days per week onsite at an HPE office in India.
Experienced in data pre-processing, feature engineering, and applying ML algorithms (e.g., linear regression, decision trees, random forests, SVM, deep learning).
Comfortable working independently within an established framework with moderate supervision and collaborating in cross-functional teams.
Able to communicate technical and analytical concepts effectively to both technical and non-technical stakeholders in a corporate setting.