ML Engineer - Trainee
Coimbatore South, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- 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.
- Bachelor’s degree in Computer Science, Data Science, or a related field (final-year students or recent graduates can apply).
Qualification wording
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.
Bachelor’s degree in Computer Science, Data Science, or a related field (final-year students or recent graduates can apply).
Tools in this posting
- Python
- AWS
- Azure
- Google Cloud (GCP)
- NumPy
- pandas
- TensorFlow
- scikit-learn
- PyTorch
Source — Tool mentions in context
- 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.
- 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.
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).
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on qbrainx.zohorecruit.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Coimbatore South, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 3, 2026
- Recorded sightings
- 148
- Last seen by us
- Oct 10, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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