Job Description
Experience in ML Engineering, within a commercial environment
A proven track record of deploying and operating ML systems in a production environment, at scale
Strong knowledge of the MLOps field, including the latest tooling and developments, being able to lead system design choices
A master’s degree or Ph.D. in computer science or a related field
Excellent communicative skills, with good command of the English language
Project experience with our tech stack, most importantly Python, Kubernetes, and Airflow. GCP experience is a strong plus.
Mastery of collaborative software engineering practices (Git, Agile, Scrum, CI / CD, DevOps)
Self-organized and able to work independently, while collaborating proactively with others in a team and the wider organization
Note : we are NOT looking for a data scientist or someone who designs and builds ML models.
Requirements :
What 3 things from the box above are most important?
1. Proven track record of engineering ML software systems
2. Strong knowledge of the MLOps field
3. Self-organized and able to work independently
