Senior ML engineer
Tasks
- Build infrastructure for production ML models
- Collaborate with data engineers and domain experts
- Contribute to architectural decisions and code reviews
- Design and execute experiments
- Document experiments results and lessons learned
- Ensure model reliability performance and observability
- Preprocess clean and harmonize datasets
- Select adapt and fuse deep learning model architectures
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Anomaly Detection | Azure | B testing | Cloud Platforms | Containerization | Data Analysis | Data Preprocessing | Data Processing | Data harmonization | Deep learning | Docker | Experiment tracking | Experimental Design | GCP | MLOps | MLflow | Model versioning | Observational data | Observational data analysis | PyTorch | Python | Recommender Systems | Sensor Data Processing | Sensor data | Series forecasting | TensorFlow | Time Series | Time Series Forecasting
Education
N/A
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