Machine Learning Engineer - Stageur
The team applies advanced analytics—including machine learning, quantitative algorithms, and data mining techniques— to obtain business insights and solve problems. We are actively involved throughout the entire lifecycle, from initial design to final implementation. Our stakeholders span all areas of the bank, including business, risk, retail, and corporate banking.
Our scope of work includes:
- Building and maintaining a robust codebase that supports the creation of ML models
- Training, deploying, and monitoring machine learning models tailored to various business needs.
- Conducting ad hoc data analyses
- Developing dashboards and tools to enhance data accessibility and support a more data-driven organization.
The employee will focus on developing a deep learning model for the mortgage portfolio. Specifically, they will evaluate different approaches and compare them with the model currently in production.
For this purpose, we are looking for students interested in writing their thesis on this topic.
Experiences:
- Practical experience (at least 2+ years) with programming language such as Python
- Familiarity with machine learning libraries and frameworks (e.g. scikit-learn...)
- Knowledge of Object-Oriented Programming and Git workflows
Nice to Have:
- Personal public projects on GitHub/Azure or similar
- Experience with Keras/TensorFlow for deep learning models.
- Experience with CI/CD pipelines and DevOps practices
Skills:
- Demonstrated solid data handling skills.
- Fluent written and spoken English
- Strong verbal and written communication skills
Personal Characteristics:
- Self-driven with the ability to figure out solutions by him or herself
- Ability to work collaboratively in a team environment.
- Must possess an energetic, self-motivated work ethic.
- Effectively communicate with many levels.
- Proven to perform under pressure.
- High ethical standards, honesty, integrity.
Questions? Just ask
Elena Salvi
Chez ING, nous voulons libérer tout le potential de nos collaborateurs, grâce notamment à une culture inclusive où tout le monde peut se développer et avoir un impact sur nos clients et sur la société. Nous veillons à ce que la diversité, l'équité et l'inclusion soient prioritaires. En tant qu'employeur souscrivant au principe de l'égalité des chances, nous ne tolérons aucune forme de discrimination, qu’elle soit liée à l'âge, au sexe, à l'identité sexuelle, à l'origine culturelle, à l'expérience, à la religion, à la race, à l'origine ethnique, au handicap, aux responsabilités familiales, à l'orientation sexuelle, à l'origine sociale ou à tout autre statut protégé par la législation. Si vous avez besoin d'aide lors du processus de candidature et/ou d'entretien, veuillez contacter le (la) recruteur(se) du poste concerné. Nous serons heureux de vous accompagner pour garantir un processus équitable et accessible. Apprenez-en plus sur notre engagement en faveur de la diversité, de l’inclusion et de l’appartenance.
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