Senior AI Engineer
Tasks
- Build scalable workflows to train deploy and monitor models
- Collaborate with product managers and engineers to align solutions
- Design and implement machine learning systems
- Develop and deploy AI-powered features
- Implement MLOps processes
- Lead projects from ideation to production
- Optimize AI systems for scalability safety reliability
Perks/Benefits
- Corporate discounts
- Home office financial support
- Hybrid work environment
- In-house training
- Leave options
- Parental leave
- Study assistance
- Wellbeing support
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Amazon S3 | CI/CD | Docker | Foundation Models | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | PyTorch | TensorFlow
Education
Regions
Countries
States
Cities
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