Machine learning Engineer
Summary
Build and deploy ML models, design cloud architectures, and lead AI product development for a company whose core product is AI/ML.
- Build production-level machine learning solutions
- Develop machine learning pipelines
- Lead internal AI product development
- Make cloud architecture and design decisions
- Optimize tune and test machine learning models
- Participate in client workshops and meetings
- Present at conferences and publish technical content
- Scale models to production
- Train and mentor engineers
- Wrap models for production deployment
Perks/Benefits:
- Hospital insurance
- Mobility budget
- Performance-related bonus
- Training opportunities