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ML Engineer - Trainee
Job description
We are looking for a passionate and self-motivated Machine Learning Engineer
- Trainee to join our team. As a trainee, you will work closely with data scientists and senior ML engineers to build, train, and deploy machine learning models that solve real-world problems.
Requirements
Requirements Strong understanding of machine learning algorithms , statistics, and data structures. Proficiency in Python and popular ML libraries such as scikit-learn, pandas, NumPy, TensorFlow or PyTorch . Familiarity with data preprocessing, feature engineering, and model evaluation techniques . Good understanding of supervised and unsupervised learning techniques .
Knowledge of version control systems (e.g., Git) and basic software engineering principles. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. Strong analytical, problem-solving, and communication skills. Bachelor’s degree in Computer Science, Data Science, or a related field (final-year students or recent graduates can apply).
Description copied from QBrainX's careers page. Read the full posting before you apply.
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