Machine Learning Engineer, Alma

• Minimum a confirmed full-time permanent experience (internships & apprenticeships excluded) in machine learning with a master's degree in a relevant field (computer science, machine learning, mathematics, engineering, etc.)
• Solid understanding of ML fundamentals, including algorithms and concepts such as data leakage, bias-variance tradeoff, under/over-fitting, etc
• Production-level development experience in Python and SQL: unit testing, versioning (git), and documenting your code
• Proficiency with cloud computing platforms (preferably GCP)
• Advanced analytical skills, with the ability to deep-dive into a problem and quickly deliver pragmatic, tangible results, without getting lost in unnecessarily complex reasoning
• Autonomy and ownership on complex projects, capable of getting out of your comfort zone while staying focused, prioritising and communicating in a context of uncertainty
• Energetic and enthusiastic team player with very good communication skills
• Mandatory full professional proficiency in both French and English
• ML Stack: Python, FastAPI, VertexAI, BigQuery, PostgreSQL, Github, scikit-learn

Desirable

• Our global mission is to enable Alma to grow quickly and securely by anticipating and preventing any risks that could endanger the company. In a nutshell, this means:
• Building tools and processes that allow us to accurately assess the risk level of our merchants during onboarding and throughout the entire relationship
• Continuously improving our customer scoring model with the objective of offering a frictionless payment experience while minimising defaults and maximising client acceptance
• Preventing and thwarting any fraud attempts from our clients or merchants
• As a Machine Learning Engineer, you will join the AI/ML team (part of the Risk Modelling team). You will be responsible for developing and deploying ML models used in our real-time credit risk evaluation, which are at the core of Alma's mission to offer a frictionless payment experience while minimising defaults and maximising client acceptance
• Own the entire Machine Learning lifecycle, from data collection to model development, deployment in production and follow-up of the monitoring pipeline of our ML products
• Leverage ML algorithms and statistical methods to iteratively improve the performance of our credit scoring and extend its capabilities
• Collaborate closely with multiple teams to ensure the successful execution of your projects
• Understand Alma's business model and proactively identify new opportunities to leverage AI within other teams
• Follow ML research, learn new techniques, and apply them to drive business impact
• Share your knowledge and expertise with your teammates and Almakers
• Over the course of your experiments and deployments, your impact on customer experience and our bottom line will be significant and easily observable

• Phone interview with Recruiter (30 mins)
• Technical interview with Senior MLE (30 mins)
• Applied ML / Python interview (60 mins)
• ML system design interview (60 mins)
• Final interview with Head of Risk Modelling (60 mins)