Data Engineer / Machine Learning / Cloud

We are expanding our team of skilled Data Engineer to strengthen our current services within Data Sciense this fall. We are looking for you who want to be part of this journey!

Who are we?
Combine is a leading supplier of high-quality engineering services in Data Science, Software development, and Control Systems. We help our customers bring their products to the market on time, at a predictable cost, and with high quality.
We offer varied challenges at the bleeding edge of technology, an inspiring working environment, and enthusiastic colleagues. We have offices in Gothenburg, Lund, and Linköping and are looking for new employees to join us on each site.

What can we offer?
Exciting assignments and the possibility of taking on projects together with, and learning from, our colleagues who are enthusiastic about control systems, Data Science and AI. The flexibility and friendly atmosphere of a smaller company. Our employees describe their work as dynamic and highly mentally stimulating. They say that they appreciate the opportunity to work with new inspiring tasks, projects and expand their knowledge in a supportive and helpful way.

Areas of Interest
Data Engineering, Data Science, Image Analysis, Big Data, Machine Learning, AI.

Job summary
The Data Science & AI Solutions team at Combine works with clients from various industries and sectors. Common for all projects is that data is central and needs to be handled in the most efficient way. This is why the Data Engineer becomes a crucial part of all projects. Here, you can constantly seek out the latest techniques in Machine Learning research while enjoying solving technical challenges with real-world impact.

Main responsibilities

- Adapt current tools/packages to automated pipelines in the cloud that align with industry best practices
- Analyze data to answer questions raised by stakeholders
- Monitor data and create/update reports or dashboards
- Cooperate closely with stakeholders & support multi-disciplinary teams


Qualifications

- Master’s degree with a specialization in areas related to ML, AI, or Computer Science
- Proficiency in Python
- Experience with database technologies such as SQL and NoSQL
- Experience with container-based solutions, including Docker and/or Kubernetes
- Experience with cloud technologies including AWS, GCP, or Azure
- Experience with deep learning frameworks Tensorflow, PyTorch, or Keras.


Good to have

- Hands-on experience with one or more of the following areas of computer vision: image classification/segmentation, object detection models (single-shot detection), and general adversarial networks (GAN).
- Thesis work related to computer vision


The Attitude
We believe you see yourself as a team player who enjoys contributing a unique perspective to a diverse group. You have good communications skills and are able to interpret technical knowledge to colleagues and stakeholders across many different areas and technical levels.

Welcome with your application!