ML Engineer - Trainee
Summary
Trainee machine learning engineer at QBrainX in Coimbatore, India, working with data scientists and senior ML engineers to build, train, and deploy models that solve real-world problems. Core stack: Python with scikit-learn, pandas, NumPy, TensorFlow or PyTorch, plus Git.
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).