Machine Learning Engineer
Tasks
- Apply MLOps best practices for deployment
- Architect scalable training and inference for real time predictions
- Build end-to-end machine learning pipelines
- Lead cross functional machine learning initiatives and mentor engineers
- Optimize models for demand forecasting fraud detection personalization
- Own full lifecycle machine learning models
- Process and analyze large scale datasets using distributed computing frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud Platforms | Distributed Computing | LightGBM | MLOps | Microservices | NumPy | PyTorch | Python | Real Time | Real-time Inference | Scikit-learn | TensorFlow | XGBoost
Education
N/A
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