Machine learning Engineer
Summary
Build and scale production ML/AI systems, lead internal AI product development, and present technical work at conferences.
- Build production-level ML/AI solutions
- Collaborate on client machine learning projects
- Lead internal AI product development
- Make cloud architecture and design decisions
- Parallelize optimize tune test and wrap models
- Present at conferences and write technical content
- Provide training and conduct internal meetings
- Scale machine learning models into production
Perks/Benefits:
- Corporate social responsibility actions
- Diversity and inclusion focus
- Employee well-being initiatives
- Hospital insurance
- International work experience
- Mobility budget
- Training opportunities