ITSync

Machine Learning Engineer

Job description

As an experienced Machine Learning Engineer, you will start within one of the IT parts of DFC, namely the CAAP Platform team. The team enables the whole DFC organization with a state of the art data platform. As an experienced Machine Learning engineer you have a clear vision on the latest technologies and best practices in bringing a machine learning model into production. You need to have an in-depth understanding of the Machine Learning lifecycle.

You can only apply if you already live in the Netherlands

Your responsibilities:
Work in a Scrum / Agile environment
Work with other ML engineers to optimize our MLOps framework
Building smooth pipelines towards production is the norm
Closely cooperate with the Data Scientists to bring ML models into production
Working with new Azure tools and technologies
You will be part of a DevOps team so Development and Ops activities will go hand in hand

Your qualifications:
Bachelor’s Degree in Computer Science / AI / Software Engineering
Experience with productionizing Machine Learning Models
Experience with MLOps principles and striving to apply them in your day-to-day work
Experience with MLflow or any other Machine Learning lifecyle platforms
Experience with model training, re-training and evaluation
Knowledge of data drift detection
Knowledge of model performance monitoring
Experience with building CI/CD pipelines
Excellent in analytical thinking
Strong programming skills in Python, familiarity with Spark ecosystem is a plus
Experience in data engineering and Machine Learning
Creative and problem-solving mindset, proactive and ready to be challenged
Good communication skills with different stakeholders
You are a team player and eager to share your expertise with your team
NL based

Nice to have

Experience with Azure Cloud or any other cloud provider
Knowledge of Azure Data factory, Azure Databricks and Azure Dataflow
Familiar with Azure DevOps

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.