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.
RequirementsRequirements
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).
Skills Required
- Strong understanding of machine learning algorithms, statistics, and data structures
- Proficiency in Python
- Proficiency in scikit-learn
- Proficiency in pandas
- Proficiency in NumPy
- Experience with 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)
- 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)
What We Do
QBrainX Inc. is a specialized provider of hyper-automation and enterprise process optimization solutions. Acting as a digital transformation ally, the company empowers businesses across various domains to achieve excellence through innovative digital engineering and platform modernization. It leverages expertise in ServiceNow, Salesforce, SAP, and AI-driven data solutions to automate business processes and deliver high-performance, future-ready systems for global enterprises.
