Machine Learning Engineer (with Vertex AI Experience)
Tasks
- Build scalable machine learning pipelines
- Collaborate to enable reproducible machine learning workflows
- Deploy models to production using Vertex AI endpoints
- Develop RESTful APIs for real time inference
- Develop train and optimize machine learning models
- Implement model governance versioning explainability security
- Integrate ML models with downstream applications and APIs
- Monitor model performance and drift
- Set up alerting and retraining triggers
- Use CI CD for machine learning workflows
Perks/Benefits
- Career development opportunities
- Entrepreneurial environment
- Equal employment opportunity
- High responsibility
Skills/Tech-stack
Authentication | Automl | BigQuery | CI/CD | Cloud Build | Cloud Functions | Cloud Run | Cloud Storage | Data Ingestion | Dataflow | Dataproc | Drift Detection | FastAPI | Feature Engineering | Flask | GitOps | IAM | Logging | Model Evaluation | Model Monitoring | Model Serving | Model Training | NumPy | Pandas | Performance optimization | Pub/Sub | PySpark | PyTorch | Python | REST API | Retraining | Scikit-learn | TensorFlow | VPC | Vertex AI | Vertex Pipelines
Education
N/A
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