VACATURE
CLOUD ARCHITECT – REBATCH
Are you an experienced Cloud Engineer that wants to jump into Machine Learning and Deep Learning? We are looking for a Cloud Architect that wants to productionalize machine learning models
CONTINUOUS
PERSONAL GROWTH
We invest in technical and personal development.
OPPORTUNITY TO LEAD
A TEAM
Setup and lead a team of MLOps and Data Engineers.
TRAIN YOUR OWN
NEURAL NET
Learn more about Machine Learning, AI and Deep Learning.
WHO ARE YOU?
At ReBatch we use MLOps principles to develop and deploy machine and deep-learning models in production MLOps covers three *elds: consultancy, data science and operationalization of machine learning models. You will take the lead in operationalization of machine learning models. The candidate will not only be at the forefront of MLOps, but will also have a big in-uence at scaling the MLOps team.
You want to be at the forefront of MLOps in the Benelux and are an experienced Cloud Architect who can make this happen.
Don’t worry if you don’t fit the bill perfectly, at ReBatch we invest in technical and personal development.
WHAT ARE WE LOOKING FOR IN A CLOUD ARCHITECT?
- You have a bachelor or master’s degree in computer science
- You have roughly *ve years’ experience
- You have experience with Docker and orchestration platforms such as Kubernetes
- You have experience in DevOps methodologies like CI/CD pipelines,Infrastructructure as Code and Automated testing
- You have experience with GCP, AWS or Azure
- You have experience with monitoring, eg: Grafana or Prometheus
- Python is familiar territory
- SQL holds no secrets for you
- Experience with developing and using API’s
- You can mentor junior DevOps or MLOps Engineers
- You are interested in learning Machine Learning
- Experience in Data Science, Tensor-ow, PyTorch or Keras is a plus, but not necessary. We will teach you the inner workings of Machine Learning and AI!
WHAT WILL YOUR RESPONSIBILITIES BE?
- Setup architecture design and development of machine learning pipelines and integration into enterprise systems
- Setup and maintain GKE clusters to train big machine learning models with huge datasets
- Setup CI/CD pipelines for Machine Learning models
- Monitoring performance of production systems
- Build APIs around Machine Learnings models and optimize predictions
- Interact with Data Scientists to optimize machine learning models
- Guiding junior DevOps or MLOps Engineers
IS THIS THE JOB FOR YOU? CONTACT US!
CHECK OUR OUR OTHER JOBS
Not exactly what you’re looking for? Check our other job openings or take a look at our page for entrepreneurs and start your own business.



