AI Data Engineer
Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger
Ballerup
Join us to shape the future of endoscopy
Do you want to be part of bringing the cutting-edge application of Deep learning to the medical field, helping doctors with early detection of Cancer? Do you want to be part of building a new market within endoscopy? Then this newly created and exciting role as AI Data Engineer could be the right opportunity for you.
Ambu develops, manufactures and sells medical devices. Millions of patients and healthcare professionals depend on the functionality and performance of Ambu’s products worldwide. Ambu wants to be first in line and deliver new and innovative devices, which rethink existing processes and combine several technologies. We are looking for an Engineer for our Technology research and Image processing team who can participate in shaping the future success of Ambu.
We offer a challenging position located at our headquarters in Ballerup where you will participate in securing our ongoing dedication to quality products. You will be part of an effective innovation culture with a tradition of fast completion of projects, which means that there is a visible link between your results and Ambu’s growth.
Key Responsibilities As AI Data Engineer
At the heart of any AI application lies the data, which is the most critical factor in the performance of AI. In this role, this data will be your main responsibility, and you will play an essential role in optimizing performance by ensuring the highest quality of data and annotations. You will be part of an AI development group that takes the AI from early idea to a mature product ready for implementation. You will work closely within the AI development team and support, when the product matures, the AI implementation project team, and you will coordinate closely with other data engineers to synchronize the efforts across the different AI projects..
Your Primary Role Will Be To
1. Play a key role in defining the AI solutions by determining the requirements and support for forthcoming data collections
2. Collaborate closely with physicians and clinical experts to determine the annotation needs to develop and implement the optimal annotation strategy
3. Secure data quality, control, and anonymization
4. Data preparation and processing for algorithms
5. Support for engineers and project team members
Experienced In Data Acquisition and Data Management
To be considered for this position, you may hold a Master of Science with focus on programming/data management or similar such as MSc in Physics, Biomedical Engineering and Informatics or Computer Science.
Ideally you have experience working with data acquisition or data management. You also need to have good understanding of deep learning techniques and a desire to learn more.
You have a deep understanding and interest in creating high quality data and AI applications as well as key skills such as:
• General programming skillset – as a minimum in Python
• General knowledge of deep learning theory and applications
• Knowledge of Quality Assurance in MedTech
• Innovative and User centric
• Self-driven and motivated
• Structured and independent working style
• Finding answers to complex solutions
• Good communication/ collaborative skills
You are highly motivated with a strong sense of detail. You have a proactive and flexible mind-set combined with the ability to plan, execute, and meet deadlines. You manage to focus, prioritize, and document the result. Furthermore, using methods and tooling for a structured approach is also natural to you. You need to have excellent people and teaching skills, to support and guide the data annotation work.
It is essential that you have excellent communication and English skills, both written and oral, and that you are willing to travel approximately 15-20 days per year when feasible and safe.
Information and deadline
You can get more information about the job and about Ambu by AI Module Manager, Andreas Härstedt Jørgensen +45 26 79 57 20 or Director of Technology Research,
Finn A. Sonnenborg +45 7225 2000. If you are interested in applying for the position, then please apply as soon as possible and no later than 30th June 2021
Do you want to be part of bringing the cutting-edge application of Deep learning to the medical field, helping doctors with early detection of Cancer? Do you want to be part of building a new market within endoscopy? Then this newly created and exciting role as AI Data Engineer could be the right opportunity for you.
Ambu develops, manufactures and sells medical devices. Millions of patients and healthcare professionals depend on the functionality and performance of Ambu’s products worldwide. Ambu wants to be first in line and deliver new and innovative devices, which rethink existing processes and combine several technologies. We are looking for an Engineer for our Technology research and Image processing team who can participate in shaping the future success of Ambu.
We offer a challenging position located at our headquarters in Ballerup where you will participate in securing our ongoing dedication to quality products. You will be part of an effective innovation culture with a tradition of fast completion of projects, which means that there is a visible link between your results and Ambu’s growth.
Key Responsibilities As AI Data Engineer
At the heart of any AI application lies the data, which is the most critical factor in the performance of AI. In this role, this data will be your main responsibility, and you will play an essential role in optimizing performance by ensuring the highest quality of data and annotations. You will be part of an AI development group that takes the AI from early idea to a mature product ready for implementation. You will work closely within the AI development team and support, when the product matures, the AI implementation project team, and you will coordinate closely with other data engineers to synchronize the efforts across the different AI projects..
Your Primary Role Will Be To
1. Play a key role in defining the AI solutions by determining the requirements and support for forthcoming data collections
2. Collaborate closely with physicians and clinical experts to determine the annotation needs to develop and implement the optimal annotation strategy
3. Secure data quality, control, and anonymization
4. Data preparation and processing for algorithms
5. Support for engineers and project team members
Experienced In Data Acquisition and Data Management
To be considered for this position, you may hold a Master of Science with focus on programming/data management or similar such as MSc in Physics, Biomedical Engineering and Informatics or Computer Science.
Ideally you have experience working with data acquisition or data management. You also need to have good understanding of deep learning techniques and a desire to learn more.
You have a deep understanding and interest in creating high quality data and AI applications as well as key skills such as:
• General programming skillset – as a minimum in Python
• General knowledge of deep learning theory and applications
• Knowledge of Quality Assurance in MedTech
• Innovative and User centric
• Self-driven and motivated
• Structured and independent working style
• Finding answers to complex solutions
• Good communication/ collaborative skills
You are highly motivated with a strong sense of detail. You have a proactive and flexible mind-set combined with the ability to plan, execute, and meet deadlines. You manage to focus, prioritize, and document the result. Furthermore, using methods and tooling for a structured approach is also natural to you. You need to have excellent people and teaching skills, to support and guide the data annotation work.
It is essential that you have excellent communication and English skills, both written and oral, and that you are willing to travel approximately 15-20 days per year when feasible and safe.
Information and deadline
You can get more information about the job and about Ambu by AI Module Manager, Andreas Härstedt Jørgensen +45 26 79 57 20 or Director of Technology Research,
Finn A. Sonnenborg +45 7225 2000. If you are interested in applying for the position, then please apply as soon as possible and no later than 30th June 2021
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Ballerup.
Jobbet er oprettet på vores service den 14.6.2021, 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.
- Data Manager
- Ballerup
Lignende jobs
-
Dataanalytiker
Vil du være en del af en virksomhed i rivende udvikling? Trives du med tal og data, og har du stærke analytiske evner? Så er det måske dig, vi mangler!- Data Manager
- Storkøbenhavn
-
HR Data Specialist til JP/Politikens Hus
Har du skarpe analytiske skills med spidskompetence i data, analyse og processer? Så får du her mulighed for at arbejde i en af Danmarks største mediekoncerner .- Data Manager
- Storkøbenhavn
-
Data Engineer til [xxxxx]
Brænder du for at skabe innovative og datadrevne løsninger, der driver forretningen fremad? Så er du måske vores nye Data Engineer i [xxxxx]s Data Platform-team! I rollen som Data Engineer v..- Data Manager
- København S
-
People Analytics & Data Specialist
Vil du være med til at udvikle og sætte retning for, hvordan vi arbejder med people analytics og data i [xxxxx], og ønsker du at være en del af et proaktivt og målrettet team? Så er du måske vor..- Data Manager
- København
Statistik over udbudte jobs som data managere i Ballerup
Herunder ser du udviklingen i udbudte data manager i Ballerup 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 data managere.
Se flere statistikker her:
Statistik over udbudte data managere i Ballerup over tid
Dato | Alle jobs som data managere |
---|---|
7. september 2024 | 2 |
6. september 2024 | 2 |
5. september 2024 | 2 |
4. september 2024 | 2 |
3. september 2024 | 2 |
2. september 2024 | 1 |
1. september 2024 | 2 |
31. august 2024 | 2 |
30. august 2024 | 3 |
29. august 2024 | 4 |
28. august 2024 | 4 |
27. august 2024 | 4 |
26. august 2024 | 5 |
25. august 2024 | 6 |
24. august 2024 | 6 |
23. august 2024 | 6 |
22. august 2024 | 5 |
21. august 2024 | 5 |
20. august 2024 | 5 |
19. august 2024 | 4 |
18. august 2024 | 8 |
17. august 2024 | 8 |
16. august 2024 | 8 |
15. august 2024 | 8 |
14. august 2024 | 7 |
13. august 2024 | 5 |
12. august 2024 | 5 |
11. august 2024 | 5 |
10. august 2024 | 5 |
9. august 2024 | 5 |
8. august 2024 | 5 |