Senior Machine Learning Engineer
Tasks
- Collaborate with MLOps and platform teams
- Communicate complex outcomes to stakeholders
- Deploy and maintain model evaluation and monitoring
- Design production machine learning services
- Develop and maintain machine learning pipelines
- Identify and fix ML training and inference performance bottlenecks
- Integrate machine learning solutions into products and services
- Support engineering best practices on product ML teams
- Transition research prototypes into scalable solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Apache Airflow | Argo Workflows | Big Data | C++ | Clustering | Data Processing | Debugging | Deep learning | Docker | Feature Store | Fine Tuning | Grafana | Java | Kubernetes | LightGBM | MLOps | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Fine-tuning | Model Monitoring | Pandas | Prometheus | PySpark | PyTorch | Python | Representation Learning | SQL | Semi-Supervised Learning | Semi-supervised | Supervised Learning | TensorFlow | Time Series | XGBoost
Education
N/A
Regions
Countries
States
Cities
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