Tractive
Senior ML/AI Engineer(m/w/x)
Full-timeOn-siteSenior
Linz
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Building LLM-powered systems for document-heavy use cases in SaaS/cloud spend management. Strong hands-on Python experience for maintainable code required. Greenfield AI/ML product development.
Requirements
- Engineering-first mindset and focus on functionality
- Strong hands-on experience writing maintainable Python
- Proficiency with Python ecosystem
- Practical understanding of modern ML techniques
- Experience implementing end-to-end ML/AI solutions
- Experience deploying AI on cloud platforms
- Familiarity with Large Language Models
- Legal authorization to work in region
Tasks
- Design and implement end-to-end AI solutions
- Build intelligent LLM-powered systems for document-heavy use cases
- Transform unstructured data into usable signals
- Integrate AI components into larger backend systems
- Improve the robustness and performance of AI features
- Monitor and iterate on production AI systems
- Collaborate with product managers to define AI capabilities
- Ship reliable AI-powered features for daily user interaction
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- NumPy
- Pandas
- PyTorch
- HuggingFace
- AWS
- GCP
- Azure
- Large Language Models (LLMs)
Benefits
Mentorship & Coaching
- Growth mindset culture
Informal Culture
- Transparent work environment
- Collaborative work environment
- Diverse work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Vertice 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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Edge AI Engineer(m/w/x)
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Senior Data Scientist(m/w/x)
Full-timeOn-siteSeniorLinz
Building LLM-powered systems for document-heavy use cases in SaaS/cloud spend management. Strong hands-on Python experience for maintainable code required. Greenfield AI/ML product development.
Requirements
- Engineering-first mindset and focus on functionality
- Strong hands-on experience writing maintainable Python
- Proficiency with Python ecosystem
- Practical understanding of modern ML techniques
- Experience implementing end-to-end ML/AI solutions
- Experience deploying AI on cloud platforms
- Familiarity with Large Language Models
- Legal authorization to work in region
Tasks
- Design and implement end-to-end AI solutions
- Build intelligent LLM-powered systems for document-heavy use cases
- Transform unstructured data into usable signals
- Integrate AI components into larger backend systems
- Improve the robustness and performance of AI features
- Monitor and iterate on production AI systems
- Collaborate with product managers to define AI capabilities
- Ship reliable AI-powered features for daily user interaction
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- NumPy
- Pandas
- PyTorch
- HuggingFace
- AWS
- GCP
- Azure
- Large Language Models (LLMs)
Benefits
Mentorship & Coaching
- Growth mindset culture
Informal Culture
- Transparent work environment
- Collaborative work environment
- Diverse work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Vertice 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
Vertice
Industry
Procurement
Description
The company builds a new way to manage SaaS and cloud spend, focusing on transparency and modern business needs.
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