Experience:5+ years Main 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 method Other skills - AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated Engineer / PhD in Data Science / Computer Programming Databricks (Machine learning Associate OR Machine Learning Professional),
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Opportunity for Machine Learning Engineer