Senior Machine Learning Engineer (GCP)
Tasks
- Apply model governance and versioning
- Deploy models to production
- Design and build machine learning pipelines
- Develop train optimize machine learning models
- Document ML workflows and architecture decisions
- Implement CI/CD for ML pipelines
- Integrate models with APIs for inference
- Monitor model performance
- Set up alerting retraining triggers and drift detection
- Use GCP services for ML workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Asynchronous processing | Automl | BigQuery | CI/CD | Cloud Build | Cloud Functions | Cloud Run | Cloud Storage | Cloud platform | Dataflow | Dataproc | Distributed Systems | FastAPI | Flask | GitOps | Google Cloud | Google Cloud Platform | IAM | Langchain | Microservices | NumPy | Pandas | Pub/Sub | PySpark | PyTorch | Python | Python (OOP) | RAG | REST API | Scikit-learn | TensorFlow | VPC | Vertex AI | Vertex Pipelines
Education
N/A
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