Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)
Tasks
- Apply CI CD with test automation and monitoring
- Build cloud-based ML architectures
- Collaborate with Agile teams to build ML software
- Construct optimized data pipelines
- Design build and deliver ML models for business problems
- Inform ML infrastructure decisions
- Manage code governance and responsible explainable AI
- Retrain maintain and monitor production models
- Write test and automate ML application code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Bias Variance | Bias/variance analysis | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Dimensionality Reduction | Hyperparameter Tuning | Java | KServe | Kubernetes | ML model monitoring | Model Monitoring | Model Validation | Monitoring | PyTorch | Python | Scala | Scikit-learn | TensorFlow | Test automation | Variance analysis
Education
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