Machine Learning Architect
Il y a 7 mois
We are looking for a Machine Learning Architect
**Mission description**:
- You will be helping to make the data scientists and ML engineers more productive by providing them with a best-in-class machine learning model development and deployment environment.
- You will focus on enabling more models to move into production, both in cloud and on-premises environments, and owning responsibility for their continued performance in production.
- This will also involve developing a model monitoring pipeline for the models and making architecture decisions about our model deployment environment.
**Tasks**:
- Decide on the best deployment set-up for a given ML model.
- Work with cloud security specialists to decide on architectures for deployment environments.
- Set up a model deployment, monitoring and re-training pipeline, in our cloud and on-prem ML-Ops environments.
- Support data scientists and ML engineers to adopt best practices for model deployment, monitoring and retraining.
- Communicate with other members of our cloud and data teams, as well as with data scientists and express needs in due time.
- Work together with data engineers and software architects to integrate the model together with other software and data tools.
**Skills**:
- At least 3 years of experience in software and/or machine learning engineering with a particular focus on models in production
- Experience with Azure ML
- Experience with Docker
- Experience with Terraform and Infrastructure-as-code
- Experience with ML flow is a plus
- Experience with Databricks is a plus
- Experience mentoring and supporting junior data scientists is a plus
- Experience deploying to cloud environments (Azure experience is a plus)
- Experience writing production code (test-driven development, working with/creating CI/CD pipelines)
- Fluent in English. Additional language skills in German, Dutch or French is a plus
If you would like to explore this opportunity further, click "Apply"
**Salary**: €400.00 - €550.00 per day
Schedule:
- Monday to Friday
Work Location: In person
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