ML Engineer

About Alma At Alma, we believe sustainable commerce depends on fair, well-balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started! About the team The AI team is part of the Data department. We build and operate the ML products at the core of Alma's business such as credit-scoring to offer a frictionless payment experience while minimizing defaults and maximizing acceptance. We've recently broadened our scope beyond risk into AI for operational intelligence - delivering AI solutions that make Alma's operational teams more effective and answer new business needs, including revenue forecast and debt collection optimization. So you'll work across both our core risk models and a growing portfolio of new ML initiatives. We're a team of five, owning our products end-to-end, from modelling all the way to the production systems that serve and monitor them. You'll report to the ML Engineering Manager ( Bastien ) and work closely with Data, SRE and Quantitative Analysis. This is a full-time position, based in Paris or fully remote in France. About the job As a Machine Learning Engineer, you'll own ML products end-to-end - splitting time between developing models, and the platform that runs them. Concretely, you will: Own ML models across their full lifecycle - from data pipelines and feature engineering to training, evaluation, deployment and monitoring; choosing the right metrics and guarding against leakage, overfitting and drift. Run and improve our ML platform - own the team's GitOps CI/CD and release process, monitor serving endpoints, latency and load in Datadog, and define the SLOs and alerting that keep models reliable in production. Turn ML into business value across the org - collaborate with risk, operational and product teams to spot and ship ML opportunities, from credit scoring to AI for operational intelligence, sharing your expertise through code reviews and tech watch. You will work with Python, scikit-learn, SQL, Vertex AI Pipelines (Kubeflow), dbt, BigQuery, PostgreSQL, Argo Workflows, Neo4j, FastAPI, Argo CD, Kubernetes, Terraform, Datadog About you To succeed in this job You have 5+ years building and shipping ML in production: strong Python and SQL, solid ML fundamentals (evaluation, leakage, over/under-fitting), and clean, tested, reviewable code. We expect you to be familiar with some elements of our stack. You're hybrid - hands-on with MLOps and infrastructure (data pipelines, mo