AI Engineer
SLA-REVENUE HOUSE LEVEL 14, Singapore
SGD 60K-60K (estimate) Mid-level Full Time
Tasks
- Build AI model serving infrastructure and API endpoints
- Build proof of concepts for AI models
- Conduct technical due diligence for AI technologies
- Develop automated data pipelines for AI training and inference
- Document technical findings and recommendations
- Ensure secure connectivity for AI tools
- Implement MLOps for model deployment monitoring and maintenance
- Implement security protocols for AI data
- Maintain and monitor AI systems
- Manage cloud environments for AI workloads
- Stress test AI vendor APIs and model endpoints
- Write reliable code for data movement
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | Computer Vision | Data Pipelines | Docker | ETL | GCP | Kubernetes | MLOps | NLP | PyTorch | Python | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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