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 proof of concepts for AI models
- Conduct technical due diligence for AI technologies
- Develop and integrate AI services via APIs
- Develop automated data pipelines for training and inference
- Document technical findings and recommendations
- Ensure secure connectivity to AI systems
- Implement MLOps for model deployment and monitoring
- Implement security protocols for AI data handling
- Manage cloud environments for AI workloads
- Monitor AI model performance
- Stress test AI vendor APIs and model endpoints
- Write code for reliable data movement
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | API Integration | AWS | Azure | Bias detection | Cloud platform | Computer Vision | Data Governance | Data Pipelines | Docker | ETL | Google Cloud | Google Cloud Platform | Kubernetes | Language Processing | MLOps | Model Deployment | Model Explainability | Model Monitoring | Natural Language | Natural Language Processing | Privacy Compliance | PyTorch | Python | Responsible AI | 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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