Mission freelance ML Engineer / ML Ops Senior (8/10 ans d'expé)

Mission longue

Démarrage décembre

Remote hybride

Langue d'usage français et à l'écrit anglais

Notre client a des modèles de ML et des pipelines trop lourds et cherche un ML Enginer ou Data Engineer avec background en data science pour les alléger et ajouter de l'automatisation. Equipe composée de 5 data scientists et 1 lead data science / data engineer qui travaille sur des sujets de R&D et de temps réel.

Machine Learning Engineer

Our R&D team, currently composed of 6 Data Scientists, has demonstrated that this system is capable of detecting objects and intruders This data throughput requires extremely efficient

data processing pipelines and machine learning algorithms in on-prem servers.

We are therefore looking for a Machine Learning Engineer to join our production

team to build efficient, data-driven predictive systems. The candidate should be

highly skilled in math/statistics and programming, with the ability to organize and

analyze large amounts of data. The candidate should also be able to execute tests

and optimize data pipelines and machine learning algorithms.

Job responsibilities

Transform data science prototypes into production-quality code and solutions

Optimize data pipelines and machine learning algorithms across heterogeneous on-prem computing platforms (CPU, GPU)

Perform benchmarking for solution selection based on constraints (performance, resources, real-time, latency, …)

Develop and maintain CI/CD pipelines to automate testing, integration, and deployment of solutions for different use cases and across different sites

Establish monitoring solutions to track the performance of deployed solutions and identify differences in data distribution that could affect performance in real-world situations

Tech stack

Python, NumPy, SciPy, CuPy, Pandas, scikit-learn, PyTorch

MLflow, Docker, GitLab-CI, DevOps, MLOps, Linux