Your role

What will you be working on? As a Machine Learning Engineer, you are responsible for translating data science solutions into robust, scalable systems capable of running in production. You play a crucial role in bridging the gap between experimental models and valuable business solutions.

What you will do:

Make models production-ready

Build scalable ML pipelines

Review code and assist in transforming experimental solutions into production-ready, tested, and maintainable software

Implement monitoring, logging, and alerting for models in production

Ensure efficient model serving strategies and collaborate with data scientists

Advise on best practices for reproducible and production-oriented code

Contribute to model architecture decisions from an engineering perspective

Collaboratively solve technical challenges and develop the MLOps platform

Contribute to the improvement of our MLOps platform

Automate repetitive processes within the ML lifecycle