Ml Engineer
il y a 5 jours
**Start**
***
**ASAP**
**Duration**
***
**4-6 months**
emagine is looking for an AI/ML Engineer for its international client
As part of the Artificial Intelligence Engineering team, in the Group Emerging Technologies and Data (GETD) division you will build AI-powered initiatives (proofs of concept, proofs of value) with different entities & strategic partners and define & implement AI best practices, tools, and collaboration models to be followed across the whole Group.
**Responsabilities**:
- Enhance end-to-end machine learning solutions developed and deployed, from data pre-processing and feature engineering to model training, evaluation, deployment and monitoring.
- Enhance and implement templates/recipes to boost the scalability of AI use cases.
- Refactor notebooks into high quality code scripts that will be part of the ML pipelines.
- Design and optimize ML pipelines, leveraging its features and capabilities to streamline the model development and deployment process.
- Build and maintain scalable and reliable MLOps infrastructure, facilitating model versioning, monitoring, and automated deployment.
- Codify best practices for model performance monitoring, model drift detection, and model retraining, ensuring high-quality and up-to-date ML models in production.
- Implement repeatable and reliable CI/CD pipelines.
- Implement data, model and code tests.
- Stay up to date with the latest advancements in MLOps, LLMOps, and proactively identify opportunities to enhance our ML capabilities.
- Mentor and provide technical guidance to the Data Science teams across entities.
- Build assets and guidelines with our internal MLOps community.
**Technical skills**:
- Azure (DevOps, Services, SQL, Azure Search)
- Machine Learning (mlflow, Databricks, Kubeflow)
- Python
Sumi Delplanque
Delivery Specialist
- +33 1 41 92 56 78
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