Analytics Manager
SLA-REVENUE HOUSE LEVEL 14, Singapore
SGD 60K-108K (estimate) Mid-level Full Time
Tasks
- Build AI model serving infrastructure and API endpoints
- Build AI proof-of-concepts
- Conduct technical due diligence for AI technologies
- Develop automated data pipelines for training and inference
- Document technical findings and recommendations
- Ensure secure connectivity between systems and AI platforms
- Implement MLOps for deployment monitoring and maintenance
- Implement security protocols for AI data handling
- Manage cloud environments for AI workloads
- Monitor systems for AI model performance
- Stress test AI vendor APIs and model endpoints
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | Cloud platform | Data Pipelines | Docker | ETL | Google Cloud | Google Cloud Platform | Kubernetes | MLOps | Machine Learning | PyTorch | Python | Scikit-learn | TensorFlow
Education
Roles
AI | AI Engineer | Engineer
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