Machine Learning Engineer
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
A INR 1850K-2750K (estimate) Mid-level Full Time
Tasks
- Build data processing pipelines
- Collaborate with data scientists and engineers
- Compress models for edge deployment
- Conduct code reviews
- Deploy models to production
- Design machine learning models
- Develop ML pipelines
- Document ML models and processes
- Implement MLOps practices
- Monitor models and retrain
- Optimize model performance
- Optimize models for cloud and edge
- Perform low latency model inference
- Validate data quality
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Automated retraining | CI/CD | Context learning | Docker | Edge Computing | Feature Engineering | Few-Shot Learning | Few-shot | Git | Hyperparameter Tuning | In-context Learning | Knowledge Distillation | Kubeflow | Kubernetes | Low Latency | MLOps | MLflow | Machine Learning | Model Monitoring | Model Serving | Model versioning | ONNX Runtime | OpenVINO | Prompt engineering | Pruning | PyTorch | Python | Quantization | RAG | SQL | Semantic Search | TensorFlow | TensorFlow Lite | TensorRT
Education
Regions
Countries
States
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