Experience:5+ yearsMain skills- Programming in Python (Numpy, Pandas, Scikit-learn, …)- Mastery of basic Devops tools (Versionning – Git, Docker, CI/CD concepts – e.g. Gitlab CI framework)- Mastery of ML Ops and ML Engineering frameworks (Experiment trackers – e.g. MLFlow, Orchestrators – e.g. Airflow, Kubeflow, Sagemaker)- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, ...) and their real-world advantages/drawbacks. An experience in models robustness analysis and monitoring in production is highly appreciated.- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, …)- Knowledge of Monitoring model algorithm and A/B testing methodOther skills- AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciatedEngineer / PhD in Data Science / Computer ProgrammingDatabricks (Machine learning Associate OR Machine Learning Professional)
Job Title
Opportunity for Machine Learning Engineer