Senior Software Engineer - With passion for Machine Learning

Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger

Århus N

We are looking for a software engineer that can work alongside our data scientists to develop production-ready analytics and ML solutions for the food production sector.

Scio+ is a data-driven company offering intelligent solutions to the food production sector. We provide production insights and predictions by applying machine learning techniques to data from farm production. These innovative solutions focus on bringing added value to the production and animal welfare.

How we do software development at Scio+

You will be a member of an international, skilled, highly motivated and self-driven team of software developers and data scientists spanning different educational backgrounds and competences. We do weekly sprint-like iterations, focusing our work on what adds value to our customers.

We expect you to be passionate about development and deployment of machine learning solutions. We value individuals who have an open and positive attitude towards colleagues, are ambitious about their work, and what we can achieve together.

What profile are we looking for?

  • You have a master's degree or PhD in computer science, engineering or related field.
  • You are an experienced software developer (3-5 years+) that understand the challenges in designing and implementing software services.
  • You have experience in delivering solutions using continuous integration and continuous delivery. It is a plus if you have experience with continuous training of ML models.
  • You have preferably experience with cloud platforms like Azure, AWS or GCP.
  • You care about agile software processes and data security.
  • It is a plus, if you have familiarity with deep learning and machine learning frameworks for image analysis, e.g. Keras, scikit-learn, PyTorch, TensorFlow.
  • You are driven by a desire for improving your skills as well as learning new ones.
  • You are a great team player with a willingness to take responsibility in handling different kinds of tasks to reach our goal together

What would you do?

  • Support data science experimentation and deployment of ML models primarly within the area of computer vision.
  • Building reliable and secure data collection systems for experimentations and for production-ready systems.
  • Monitoring health and performance of cloud infrastructure for solutions in production.

Join us

We offer a flexible work arrangement with respect for a healthy work–life balance for all employees, and a unique opportunity to make your impact on the organisation as it grows together with you. We offer you to join social activities with your colleagues such as board gaming, retro gaming, running, or bouldering. Maybe you have a great idea for something completely different?

Want to know more? Please contact Project Manager Søren Aagaard Mikkelsen. Email: [email protected]

Apply for the job

We are assessing applications on an ongoing basis , so please send your cover letter, CV and relevant attachments as soon as possible by clicking on "Apply".


Information og data

Denne ledige stilling har jobtypen "Softwareudvikler", og befinder sig i kategorien "Informationsteknologi".

Arbejdsstedet er beliggende i Århus N.

Jobbet er oprettet på vores service den 23.12.2021, men kan have været deaktiveret og genaktiveret igen.

Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
  • Softwareudvikler
  • Århus N
  • Mandag den 28. februar 2022

Lignende jobs

Statistik over udbudte jobs som softwareudviklere i Århus N

Herunder ser du udviklingen i udbudte softwareudvikler i Århus N over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal softwareudviklere.

Se flere statistikker her:
Statistik over udbudte softwareudviklere i Århus N over tid

Dato Alle jobs som softwareudviklere
18. september 2024 12
17. september 2024 9
16. september 2024 8
15. september 2024 8
14. september 2024 8
13. september 2024 9
12. september 2024 8
11. september 2024 8
10. september 2024 8
9. september 2024 8
8. september 2024 10
7. september 2024 10
6. september 2024 10
5. september 2024 11
4. september 2024 11
3. september 2024 10
2. september 2024 10
1. september 2024 11
31. august 2024 11
30. august 2024 12
29. august 2024 11
28. august 2024 10
27. august 2024 10
26. august 2024 12
25. august 2024 12
24. august 2024 12
23. august 2024 12
22. august 2024 13
21. august 2024 12
20. august 2024 12
19. august 2024 12