2–4 yrsBengaluruOn-siteDirect career pageEst. 10–20 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and implement machine learning models and algorithms to solve specific business problems.
- Prepare and pre-process large datasets including cleaning, normalization, and feature extraction for ML tasks.
- Collaborate with cross-functional teams to gather requirements, present model performance, and contribute to design reviews and reporting.
Minimum Requirements
- Bachelor's degree in computer science, engineering, data science, machine learning, AI, or closely related field; Master’s degree desirable.
- 2-4 years of experience in AI/ML engineering or related roles involving model development and deployment.
- Proficiency in programming languages such as Python, R, or Java and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Hybrid work model requiring about 2 days per week onsite at HPE office.
Ideal Candidate Profile
- Experience working with real-world, large-scale datasets including data cleaning and feature engineering.
- Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, SVMs, and deep learning, including model evaluation and hyperparameter tuning.
- Ability to communicate technical concepts effectively to non-technical stakeholders and work independently within an established framework with moderate supervision.