Location
Noida | India
Job description
We work team-based, so your primary responsibility is as a team member. You need to make sure the team delivers on its commitments, that it s a good place to work for you and your teammates, and that it continuously improves.
Daily tasks are for example:
- Setting up ML specific pipelines mostly using Azure Machine Learning as a platform, e.g. setting up data pipelines, deploying models, and monitoring model performance.
- Getting projects from an experimental to a production stage
- Integrating models in different software solutions on premise and in multi-tenant cloud. Most of the modules we need to integrate with are written in C# or Angular.
- Understand client requirements, discuss solutions, implement and test the chosen solutions, and support them.
WHAT WE VALUE
Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to be good at several of the following and be able to - and interested in - learning the rest.
- Taking ownership and having a proactive mindset
- Putting ML in production environments
- Using Azure for Deployment, Azure DevOps pipelines, App Services etc
- Experience with Docker, Kubernetes
- Tools for ML tracking like MLFlow
Good English skills are mandatory as it is our corporate language and is used in all communications.
Job tags
Salary
