Machine Learning & DevOps Engineer

Publiée le 03/11/2021 par Nigel Frank International LTD

Lieu : Paris
Durée : 12 mois
Tarif : 200-1700 €
Télétravail : 100 %
Début : 02/11/2021

Description de la mission :



Machine Learning & DevOps Rngineer

La mission

In the Information Systems Department, you will integrate an IT team where you will work as a Machine learning & DevOps engineer on projects focused on data. In this context, you will have to cover the following responsibilities: Design and develop ML infrastructure on Azure, which will involve productionizing data science work Set up ML/Ops process for ML models Integrate code following all IT standards & maintain environment Liaise and collaborate directly with Data Scientists, Quants, Portfolio managers and ITs Provide coaching and a point of focus for Azure Cloud related enquiries Contribute to the design of new standards related for Cloud infrastructure To carry out these missions, you will be in regular contact with businesses, data scientists, IT operations & IT Security. This position of responsibility will allow you to develop your skills in an entrepreneurial and international context. As part of the regular activity of the service, several trips could be expected in Germany during the year.


Competences requises :

Number of years of experience : 3-5
Technical Skills :  Bac +5 graduated  Strong experience in Python, e.g. packages and package management in deploying scalable models  Good experience in Azure Cloud (Azure ML, Azure data factory, Azure Databricks )  Experience with code version using Github and CI/CD using Azure Dev Ops  Experience with ETL (Extraction, Transformation and Loading) in Azure  3 years of significant experience in productionizing machine learning models in Azure: designing, deploying and monitoring models (data quality, data drift, concept drift )  Financial data & quantitative financial modelling knowledge  Structured & unstructured alternative data knowledge  IT infrastructure knowledge
Soft Skills :  English proficiency  Curious, passionate & proactive, you follow the evolution of technologies and innovations relating to Big Data  Autonomous, rigorous & structured  Leadership  High skill in oral


Entreprise :



Machine Learning & DevOps Rngineer

La mission

In the Information Systems Department, you will integrate an IT team where you will work as a Machine learning & DevOps engineer on projects focused on data. In this context, you will have to cover the following responsibilities: Design and develop ML infrastructure on Azure, which will involve productionizing data science work Set up ML/Ops process for ML models Integrate code following all IT standards & maintain environment Liaise and collaborate directly with Data Scientists, Quants, Portfolio managers and ITs Provide coaching and a point of focus for Azure Cloud related enquiries Contribute to the design of new standards related for Cloud infrastructure To carry out these missions, you will be in regular contact with businesses, data scientists, IT operations & IT Security. This position of responsibility will allow you to develop your skills in an entrepreneurial and international context. As part of the regular activity of the service, several trips could be expected in Germany during the year.


Competences requises :

Number of years of experience : 3-5
Technical Skills :  Bac +5 graduated  Strong experience in Python, e.g. packages and package management in deploying scalable models  Good experience in Azure Cloud (Azure ML, Azure data factory, Azure Databricks )  Experience with code version using Github and CI/CD using Azure Dev Ops  Experience with ETL (Extraction, Transformation and Loading) in Azure  3 years of significant experience in productionizing machine learning models in Azure: designing, deploying and monitoring models (data quality, data drift, concept drift )  Financial data & quantitative financial modelling knowledge  Structured & unstructured alternative data knowledge  IT infrastructure knowledge
Soft Skills :  English proficiency  Curious, passionate & proactive, you follow the evolution of technologies and innovations relating to Big Data  Autonomous, rigorous & structured  Leadership  High skill in oral


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