Work with our excellent data scientists and backend developers, to help bring the data to the research and the models to production. We work on HR, our research and models are on NLP and recommendations (among others), our stack is Tensorflow/Django/Celery/MySQL. Take part in the infrastructure, tooling and underlying architecture of the data science team.
Design and develop the infrastructure for state of the art, large scale, real-time predictive AI-system based on machine learning algorithms and big data.
Lead the design and development of automated data and machine learning pipelines.
Responsible for the experimentation infrastructure, and reducing the time and effort of transforming experiments to production-ready models.
Interact with other teams to define interfaces and understand and resolve dependencies.
Implement model usages from research to production, in a scalable and resilient architecture (and be part of creating and maintaining this architecture)
Degree in computer science, mathematics, statistics or similar. MSc an advantage.
4+ years of experience in building production-grade products.
Proficiency in Python
A team player and a can-do attitude – essential.
All-arounder at heart!
Knowledge and working experience in Django – advantage.
Experience with machine-learning frameworks (Sklearn/Tensorflow/Keras/Pytorch etc) – strong advantage
Deep learning experience – strong advantage
Experience with MLOPS tools (mlflow/kubeflow/sagemaker etc) – advantage