Data Science and AI Engineer, SEAA
SINGAPORE OFFICE, Singapore
SGD 150K-214K (estimate) Senior-level Full Time
Tasks
- Build data science pipelines
- Build embedding pipelines
- Build statistical models
- Create model training pipelines
- Define experimentation frameworks
- Deploy machine learning models to production
- Design machine learning models
- Detect data drift
- Develop advanced analytics solutions
- Develop evaluation frameworks
- Document model logic and metrics
- Engineer features and datasets
- Ensure responsible AI governance
- Implement retrieval-augmented generation
- Integrate LLM enabled applications
- Measure business impact
- Monitor model performance
- Prototype generative AI workflows
- Retrain and optimize models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Foundry | AWS SageMaker | Azure AI | Azure AI Foundry | Azure Machine Learning | B testing | Bias Mitigation | Control Groups | Data Drift | Data Privacy | Databricks | Deep learning | Docker | Embeddings | Explainable AI | Generative AI | Git | Kubernetes | Langchain | Langgraph | Machine Learning | Model Monitoring | Model Risk Management | Model retraining | Model risk | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Risk Management | TensorFlow | Vector Search
Education
N/A
Roles
AI | AI Engineer | Data Science | Data Science Engineer | Engineer
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