Data Scientist II
Kuala Lumpur - RedQ, Malaysia
USD 128K-180K (estimate) Entry-level Full Time
Tasks
- Automate unstructured document processing
- Build data products end to end
- Collaborate with engineering stakeholders
- Conduct exploratory data analysis
- Create scalable real-time data solutions
- Deploy models to cloud
- Design ETL pipelines
- Develop machine learning models
- Ensure data reliability with testing and logging
- Implement large language model workflows
- Monitor retrain machine learning workflows
- Perform code reviews and maintain documentation
- Troubleshoot production systems
- Visualize data and communicate insights
Perks/Benefits
- N/A
Skills/Tech-stack
Agents SDK | Airflow | CI/CD | Classification | Cloud Computing | Cloud Storage | Cloud platform | Clustering | Compute Engine | Data Analysis | Data Visualization | Dataflow | Dspy | ETL | Exploratory Data Analysis | FastAPI | Feature Engineering | GCP | GCP Cloud | GCP Cloud Storage | GCP Compute Engine | GCP ML | GCP ML services | GCP compute | Git | Google Cloud | Google Cloud Platform | Graph Databases | Gurobi | Language Models | Large Language Models | ML services | Machine Learning | Model Deployment | Model Monitoring | Monitoring | NoSQL | OR-Tools | Optimization | Prompt engineering | Pub/Sub | PyTorch | Python | RAG | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistics | TensorFlow | Testing | Vector Databases | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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