Machine Learning Engineer – Practice IA MARGO
Core
Industrialize machine learning algorithms and ensure their lifecycle in production for clients in Industry, Finance, and Energy.
Role type
Machine Learning Engineer (MLOps & Model Serving)
Builds
Production-ready ML models, APIs, and data pipelines for enterprise clients.
Domain
Data Science and Machine Learning in Finance, Industry, and Energy.
Deliverable
production ML models
Required skills
Model deployment, API development, containerization, CI/CD pipeline design, data versioning, performance optimization, software craftsmanship, feature store management, drift monitoring
Preferred skills
Experience with Proof of Concept to production transition, cross-functional collaboration between Data Science and Data Engineering teams
Technologies
FastAPI, Flask, Docker, Kubernetes, Airflow, Kubeflow, Dagster, DVC, MLflow
Responsibilities
Transform research models into robust production code, develop performant APIs, design and maintain ML CI/CD pipelines, optimize model latency and resource usage, monitor for data and model drift
Seniority
Mid-level, hands-on IC