Machine Learning Engineer
10 hours ago
Hiring
Soft skills
- Combination of business focus, analytical and problem solving skills in order to quickly define a data-driven solution within different initiatives
- Ability to work within a team and with a proactive attitude
- Ability to communicate and popularize technical topics
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)
Seniority: 5+ yrs of experience
MISSIONS
Build statistical models and machine-learning algorithms pipeline
Deploy and maintain statistical models and machine-learning algorithms pipelines
Write and refactor the code into reusable libraries and API
Master and apply standard BUILD and RUN processes for ML/Statistical pipelines
Develop the internal and external network.
For more info reach
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