Internship - Defect Prediction Using Machine Learning for So
il y a 3 jours
Founded in 2004, Axe Finance provides end-to-end powerful loan origination software helping financial institutions to more effectively manage the credit life cycle, optimize firm-wide credit and risk processes, and enable better-informed credit origination and risk management decisions.
With more than 30,000 users in 20 countries, Axe Finance is focused on credit process automation for all segments (retail, corporate, microfinance, institutional, Islamic, etc.) delivering tailor-made solutions with real measurable value.
Joining Axe Finance is joining a fast-growing fintech company. We are currently seeking to hire (a) PFE intern(s)
Key Responsibilities:
Data Collection & Preprocessing: Collect historical defect data from the testing phase, including application metrics such as code complexity, test coverage, and module dependencies.
Feature Engineering: Develop features from the collected data (code commits, test results, bug reports) that can be used for predictive modeling.
Machine Learning Model Development: Research, design, and implement machine learning models (e.g., regression, classification, ensemble models) that predict defects or failures in specific modules or features of the application.
Model Evaluation & Tuning: Continuously evaluate and tune the model's performance using various metric.
Integration with CI/CD Pipeline
Candidate Profile Requirements
Technical Skills: Experience with machine learning algorithms, particularly for classification and regression tasks. Proficiency in Python.
Data Science Skills: Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
Understanding of QA Processes: Familiarity with software testing methodologies, defect lifecycle, and bug tracking tools.
Knowledge of CI/CD: Experience with Continuous Integration/Continuous Deployment processes.
What We Offer:
Fast-learning environment with opportunities for growth and evolution
Clear ownership from day one with space to test, fail, and improve fast
A culture that values sharp thinking, innovation, and autonomy
Regular collaborations, tie-ups, and activities that expand perspective and skills
Flexible work setup focused on results
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