Machine Learning Engineer WAIR

Join the WAIR team as a machine learning engineer

We are looking for an experienced Machine Learning Engineer to join us in building the machine learning backend that powers WAIR, our intelligent solution suite for challenges in the retail branch.

You will be joining a small, young, and ambitious product team, at a pivotal moment of transitioning from a startup phase to a scaleup phase. In order to scale fast and deliver value for our clients and users, we love to welcome your machine learning skills and ambition.

We provide our clients a variety of services, mainly focused on the Time-series and Computer vision domains. You will work on improving and scaling our ML models, microservices, and pipelines with customer-specific use cases in mind.

Examples of tasks you will be faced with include building out an image embedding microservice, optimizing the throughput of our sales-forecasting pipeline, or investigating whether weakly supervised methods are applicable for customers operating in low data regimes. If any of this sounds interesting to you, read ahead!

We challenge you

To deliver continuous improvements to our ML pipelines
To discover and rapidly prototype promising new developments
To work with massive amounts of data and not be intimidated by it
To assess and improve the scalability of our ML pipelines and services
To think from the perspective of our customers
To contribute to the team spirit by conducting code reviews and mentoring interns and junior members

We like

Your pro-activeness and social skills
Your team spirit and how you value everyone's opinion
Your ability to have a long-term vision, and a keep-it-simple attitude at the same time
How you understand that machine learning is ultimately all about humans
Your ability to look at technical products from the perspective of an end-user

We ask for

3+ years of experience as a machine learning engineer, with experience in computer vision, using NN's and/or OpenCV
Excellent skills in
- Python
- PyTorch
- REST-API's (Fast API, Flask)
- Docker, Kubernetes
- KubeFlow
A relevant completed higher education
Scalable, reusable, readable, reliable, and well-documented code
An attitude of taking responsibility and ownership
A passion for turning ML technologies into concrete products
A readiness to work on the modeling-, data-centric- and deployment sides of the product
A sense of humor and a desire to interact with people

Nice to haves

Experience with Kubernetes
Previous experience with workflow software like Kubeflow, Airflow or Dagster
Experience with data-centric AI
Published a blogpost or scientific paper
Familiarity with optimized ML runtimes such as TensorRT, Onnx
Prior experience with Cloud providers such as AWS, GCP, or Azure

In return

Get a competitive salary based on your experience
You get 25 paid vacation days
You can combine working from home and in our office
You have the opportunity to keep learning, researching, and improving your skills
You benefit from the perks of a rapidly growing company that's expanding internationally
Expect freedom and autonomy as a team on how to approach problems and direction
Be part of a positive, encouraging, international work environment with an open culture
Visit our regular social activities
We have an attractive employee incentive plan available once you've made yourself indispensable

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Available eBooks

Machine Learning Engineer - Wair Squad

Join the WAIR team as a machine learning engineer

We challenge you

We like

We ask for

Nice to haves

In return

Ready to apply?

Intelligent Digital Inspectors

Surface Inspectors

Object Inspectors

Spatial Inspectors

About us

Intelligence Digital Inspectors powered by Artificial Intelligence

BY INDUSTRY

BY FUNCTION

Available eBooks

Machine Learning Engineer - Wair Squad

Join the WAIR team as a machine learning engineer

We challenge you

We like

We ask for

Nice to haves

In return

Ready to apply?

Intelligence Digital Inspectors
powered by Artificial Intelligence