ML Engineer - revolutionize biotech with AI
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Hørsholm
Do you want to play a key role in transforming our AI model development processes as part of a great team?
If you are skilled in MLOps and eager to collaborate with a multidisciplinary team in the biotech industry, please read on. At Gubra, we are seeking an ML Engineer to join our AI Technology department. Here, you will work closely with your data scientist colleagues to deploy, monitor, and manage machine learning models in production, ensuring robust and scalable ML operations.
When joining Gubra, you will be part of a team of 11 skilled and dedicated Data Scientists that creates results in an open and welcoming environment.
State-of-the-art AI models in multiple domains
In this role, you will operate with AI models from multiple domains. The most established domains are biomedical image analysis and machine learning based design of pharmaceuticals. Gubra is a leader in high throughput 3D imaging, and an early adopter of digital histopathology. We have developed our own ML/AI based peptide drug discovery platform called streaMLine. The platform has reduced drug discovery time by 50%. Now, we are ready to take the next leap forward. You will be working in close collaboration with your data scientist colleagues and with valuable input from our software development team to help scale our operations and ensuring a clear separation between development and production environments.
Further, we are currently investigating areas where generative AI can make company processes more efficient. You will be instrumental in designing and building solutions with elements from generative AI.
Your primary tasks will be to:
3+ years of proven MLOps experience
At Gubra, we believe that sharing knowledge is key to success. Therefore, you will be part of a team where collaboration and the willingness to share early-stage ideas are essential.
Your qualifications should include:
AI Technology – your new Team
You will join 11 skilled data scientists in the AI Technology department at Gubra HQ in Hørsholm, on the edge of Greater Copenhagen. The department focuses on developing advanced tools to support various aspects of biotechnology.
We work in an informal and inclusive environment. We like to share knowledge and help each other. We look forward to welcoming you to the team.
Contact and application
Please apply at our career website. The deadline is 16 June, 2024.
If you have any questions, you are very welcome to contact Department Manager, Casper Salinas at [email protected]. If necessary, we will set up an additional call to ensure your understanding of the job and your many opportunities.
We look forward to receiving your application.
About Gubra
Gubra is an ambitious contract research organisation (CRO) and biotech company striving for excellence at all levels. We insist on doing things efficiently – and often differently - to reach the results we aim for. Our vision is to become leaders in the fight for a more sustainable and healthier world. We do that by facilitating the discovery of new medicine, and by acting and inspiring others to fight the ongoing climate and biodiversity crises.
Gubra’s activities are focused on the early stages of drug development and are organised in two highly synergistic business areas: CRO Services and Discovery & Partnerships (D&P). We generate our revenue by performing research for life science companies as well as by partnering projects from our discovery and development pipeline.
Our therapeutic focus is within metabolic and fibrotic diseases, and we specialize in in vivo pharmacology, ex vivo assays, drug profiling, histology, stereology and whole brain and organ imaging. In addition, we offer a full palette of advanced transcriptomics. Our ML/AI-driven peptide drug discovery platform streaMLine enables us to rapidly develop a peptide hit into a non-clinical candidate ready for development. Through a constant focus on high quality, scientific excellence, speed, and solid teamwork we have established ourselves as a highly professional and competent partner in the market.
People are our greatest asset, and our team consists of +220 employees all located in Hørsholm, Denmark. The mix of people from different cultures and educational backgrounds combined with our entrepreneurial mindset have greatly impacted our working environment, which is characterized by entrepreneurial drive, scientific curiosity, and teamwork – we join forces!
If you are skilled in MLOps and eager to collaborate with a multidisciplinary team in the biotech industry, please read on. At Gubra, we are seeking an ML Engineer to join our AI Technology department. Here, you will work closely with your data scientist colleagues to deploy, monitor, and manage machine learning models in production, ensuring robust and scalable ML operations.
When joining Gubra, you will be part of a team of 11 skilled and dedicated Data Scientists that creates results in an open and welcoming environment.
State-of-the-art AI models in multiple domains
In this role, you will operate with AI models from multiple domains. The most established domains are biomedical image analysis and machine learning based design of pharmaceuticals. Gubra is a leader in high throughput 3D imaging, and an early adopter of digital histopathology. We have developed our own ML/AI based peptide drug discovery platform called streaMLine. The platform has reduced drug discovery time by 50%. Now, we are ready to take the next leap forward. You will be working in close collaboration with your data scientist colleagues and with valuable input from our software development team to help scale our operations and ensuring a clear separation between development and production environments.
Further, we are currently investigating areas where generative AI can make company processes more efficient. You will be instrumental in designing and building solutions with elements from generative AI.
Your primary tasks will be to:
- Design, implement, and manage scalable deployment solutions for AI models
- Manage model versions and ensure smooth integration into production systems
- Build and maintain automated ML pipelines for data ingestion, preprocessing, training, validation, and deployment
- Ensure ML models and pipelines are scalable to handle varying loads and data volumes
3+ years of proven MLOps experience
At Gubra, we believe that sharing knowledge is key to success. Therefore, you will be part of a team where collaboration and the willingness to share early-stage ideas are essential.
Your qualifications should include:
- A Master’s or PhD degree in Computer Science, Engineering, or a related field
- Proven experience with MLOps, including model monitoring, reproducibility, data management, and database design
- Strong knowledge of machine learning frameworks such as TensorFlow and PyTorch
- Experience with CI/CD tools and containerization technologies
- Motivation to learn about the biotech industry
- Motivation to learn about medical image analysis
- Motivation to learn about AI models for prediction of molecule properties
- Motivation to develop competencies in generative AI
AI Technology – your new Team
You will join 11 skilled data scientists in the AI Technology department at Gubra HQ in Hørsholm, on the edge of Greater Copenhagen. The department focuses on developing advanced tools to support various aspects of biotechnology.
We work in an informal and inclusive environment. We like to share knowledge and help each other. We look forward to welcoming you to the team.
Contact and application
Please apply at our career website. The deadline is 16 June, 2024.
If you have any questions, you are very welcome to contact Department Manager, Casper Salinas at [email protected]. If necessary, we will set up an additional call to ensure your understanding of the job and your many opportunities.
We look forward to receiving your application.
About Gubra
Gubra is an ambitious contract research organisation (CRO) and biotech company striving for excellence at all levels. We insist on doing things efficiently – and often differently - to reach the results we aim for. Our vision is to become leaders in the fight for a more sustainable and healthier world. We do that by facilitating the discovery of new medicine, and by acting and inspiring others to fight the ongoing climate and biodiversity crises.
Gubra’s activities are focused on the early stages of drug development and are organised in two highly synergistic business areas: CRO Services and Discovery & Partnerships (D&P). We generate our revenue by performing research for life science companies as well as by partnering projects from our discovery and development pipeline.
Our therapeutic focus is within metabolic and fibrotic diseases, and we specialize in in vivo pharmacology, ex vivo assays, drug profiling, histology, stereology and whole brain and organ imaging. In addition, we offer a full palette of advanced transcriptomics. Our ML/AI-driven peptide drug discovery platform streaMLine enables us to rapidly develop a peptide hit into a non-clinical candidate ready for development. Through a constant focus on high quality, scientific excellence, speed, and solid teamwork we have established ourselves as a highly professional and competent partner in the market.
People are our greatest asset, and our team consists of +220 employees all located in Hørsholm, Denmark. The mix of people from different cultures and educational backgrounds combined with our entrepreneurial mindset have greatly impacted our working environment, which is characterized by entrepreneurial drive, scientific curiosity, and teamwork – we join forces!
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Hørsholm.
Jobbet er oprettet på vores service den 31.5.2024, 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.
- Øvrige
- Hørsholm
- Søndag den 16. juni 2024
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Statistik over udbudte øvrige i Hørsholm over tid
Dato | Alle jobs som øvrige |
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22. november 2024 | 11 |
21. november 2024 | 10 |
20. november 2024 | 12 |
19. november 2024 | 13 |
18. november 2024 | 13 |
17. november 2024 | 11 |
16. november 2024 | 11 |
15. november 2024 | 11 |
14. november 2024 | 11 |
13. november 2024 | 12 |
12. november 2024 | 12 |
11. november 2024 | 13 |
10. november 2024 | 12 |
9. november 2024 | 12 |
8. november 2024 | 13 |
7. november 2024 | 14 |
6. november 2024 | 14 |
5. november 2024 | 14 |
4. november 2024 | 13 |
3. november 2024 | 13 |
2. november 2024 | 13 |
1. november 2024 | 13 |
31. oktober 2024 | 12 |
30. oktober 2024 | 11 |
29. oktober 2024 | 12 |
28. oktober 2024 | 13 |
27. oktober 2024 | 12 |
26. oktober 2024 | 12 |
25. oktober 2024 | 11 |
24. oktober 2024 | 13 |
23. oktober 2024 | 11 |
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