Nomitri
Machine Learning Engineer for Edge AI(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
New Job?Nejo!
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SUSuper.AI
Machine Learning Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Deploying and managing AI automation platform workloads for document data extraction, using Python and Docker. 3-5 years software development experience required. Jupyter Notebook for local testing.
Requirements
- Smart
- Humble
- Hardworking
- Collaborative
- 3-5 years of professional experience in software development
- Ability to work backwards from customer needs
- Ability to organize and prioritize workloads
- Familiarity with distributed systems and cloud services
- Solid understanding of machine learning principles
- Experience with container frameworks such as Docker or Kubernetes
- Proficiency in using REST APIs
Tasks
- Measure and ensure high-quality output of AI workloads
- Deploy and manage production workloads for global customers
- Write, rewrite, and extend Python code
- Deploy code to containers like Docker
- Conduct local testing using Jupyter Notebook
- Integrate AI cloud solutions for large-scale use cases
- Perform prompt engineering for customer applications
- Fine-tune and deploy Large Language Models
- Develop scalable software for high-load customer workloads
Work Experience
- 3 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- Docker
- Kubernetes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Super.AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SUSuper.AI
Machine Learning Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Deploying and managing AI automation platform workloads for document data extraction, using Python and Docker. 3-5 years software development experience required. Jupyter Notebook for local testing.
Requirements
- Smart
- Humble
- Hardworking
- Collaborative
- 3-5 years of professional experience in software development
- Ability to work backwards from customer needs
- Ability to organize and prioritize workloads
- Familiarity with distributed systems and cloud services
- Solid understanding of machine learning principles
- Experience with container frameworks such as Docker or Kubernetes
- Proficiency in using REST APIs
Tasks
- Measure and ensure high-quality output of AI workloads
- Deploy and manage production workloads for global customers
- Write, rewrite, and extend Python code
- Deploy code to containers like Docker
- Conduct local testing using Jupyter Notebook
- Integrate AI cloud solutions for large-scale use cases
- Perform prompt engineering for customer applications
- Fine-tune and deploy Large Language Models
- Develop scalable software for high-load customer workloads
Work Experience
- 3 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- Docker
- Kubernetes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Super.AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Super.AI
Industry
IT
Description
The company has created the world’s most advanced AI automation platform to extract data from any document with guaranteed quality.
Not a perfect match?
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