QBrainX
ML Engineer - Trainee
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.
- Compensation
- Not disclosed
- Location
- Coimbatore South, India
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- 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
- 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)
Nice to have
- Exposure to cloud platforms (AWS, GCP, Azure)
Full 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).