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Senior Machine Learning Engineer
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DigitalTwin Technology GmbHCologne, North Rhine-Westphalia, GermanySenior Machine Learning Engineer
AlpasBerlin, GermanyWere excited to find a sharp Senior Machine Learning Engineer to join our dynamic Data Science team! Youll be at the heart of developing optimizing and integrating ML models and architecture to fully automate Alpass core product. Your mission : Fully automate the supplier search at stellar quality. Plus youll get to boost model inference efficiency and set up autoretraining systems. If AI excites you you excel at problemsolving and you thrive in a fastpaced setting wed love to hear from you!
What we offer
- Work on an AIcore product develop cuttingedge ML models and NLP systems for automating the supplier search that drive innovation and deliver real impact
- High ownership and responsibility to manage your own projects
- See your work deliver immediate results for stakeholders and collaborate closely with our Product team
- Work in a fastpaced environment with challenging tasks (zeroboredomguarantee)
- Rapid development with a steep learning curve
- Awesome team events and an inclusive company culture with a diverse team
- A hybrid work environment and a nice office in Berlin Prenzlauer Berg
Tasks
Requirements
If you dont fit all the requirements dont be discouraged from applying. We are looking for the willingness to learn more than specific skills.
What we value
Alpas is proud to be an equalopportunity employer. We view diversity as a moral imperative and competitive advantage. We are committed to equal employment opportunities regardless of race religion color national origin gender sexual orientation age marital status veteran status or disability status. If you have a disability or special need that requires accommodation please let us know.
Key Skills
Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting
Employment Type : Full Time
Vacancy : 1