Develop and implement machine learning models to enhance our lending processes.
Collaborate with data scientists and software engineers to integrate models into production systems.
Analyse large datasets to extract meaningful insights and identify opportunities for improvement.
Conduct experiments to validate model performance and ensure robustness.
Stay updated on the latest advancements in machine learning and AI technologies.

Bachelor's degree in Computer Science, Data Science, or a related field.
Proven experience in machine learning, with a strong understanding of algorithms and frameworks.
Proficiency in programming languages such as Python or R.
Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., TensorFlow, Scikit-learn).
Strong analytical and problem-solving skills.
Nice to have Master's degree or higher in a relevant field.
Experience with cloud platforms (e.g., AWS, Azure).
Familiarity with big data technologies (e.g., Hadoop, Spark).
Knowledge of financial services and lending mechanisms.

Machine Learning Engineer

Key skills