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MARGO

SME-focused bank offering credit management tools

Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeParis, France€50k - €70k /yrHybrid

About the Job

Requirements

  • Have a Bac+5 qualification from an engineering school or university in computer science or applied mathematics.
  • Have advanced mastery of Python and software engineering practices, including Git, unit and integration testing, and packaging.
  • Have solid experience with cloud platforms such as AWS, Azure, or GCP.
  • Have mastery of the MLOps ecosystem, including MLflow, Kubeflow, Docker, and Kubernetes.
  • Understand machine-learning libraries such as Scikit-learn and Pandas, and deep-learning frameworks such as TensorFlow and PyTorch, sufficiently to optimize data scientists’ code.
  • Have significant experience deploying machine-learning models in production, in batch or real time.
  • Apply rigor to code quality and automation.
  • Be able to solve complex architecture problems and work in heterogeneous technical environments.

Responsibilities

  • Turn research models and proofs of concept into robust, tested, optimized production code.
  • Develop performant APIs using FastAPI or Flask to expose models to business applications.
  • Containerize solutions with Docker and orchestrate them on clusters using Kubernetes to ensure scalability and high availability.
  • Design and maintain machine-learning CI/CD pipelines for automated retraining and model validation.
  • Set up and manage data-flow orchestration tools such as Airflow, Kubeflow, and Dagster.
  • Manage data and model versioning with DVC and MLflow to ensure experiment reproducibility.
  • Optimize response times, latency, and CPU/GPU resource utilization.
  • Refactor code to follow software craftsmanship standards, including clean code and test-driven development.
  • Manage feature stores to centralize and serve computed features in real time.
  • Set up monitoring probes to detect data drift or model drift and trigger proactive alerts.
  • Connect data scientists working on mathematics and modeling with data engineers working on infrastructure and data to streamline production deployments.
  • Promote software development best practices within data science teams.

Desired Qualifications

  • Terraform experience is a plus.

About the Company

MARGO

SME-focused bank offering credit management tools

MARGO is a banking partner for small and medium-sized businesses. It provides loans and tools to manage company cash flow. How it works: SMEs access credit options and a digital cash-management platform to handle payments, receipts, and liquidity. The bank focuses on helping leaders grow by offering financing and treasury tools that fit small and mid-sized operations. How it stands out: It is an independent bank dedicated to SMEs, offering tailored financing and cash-management services rather than broad services for all customers, which helps smaller companies manage money more effectively. Goal: To help SME leaders grow their businesses by providing affordable credit and practical cash-management tools.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Philadelphia, PA
Founded
2015

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