Senior Machine Learning Engineer
Tasks
- Build APIs embedding services and model endpoints
- Deploy production MLOps pipelines
- Implement model monitoring drift detection and alerting
- Lead design of multimodal machine learning models
- Manage model training fine tuning and deployment
- Optimize training cost and inference latency
- Scale distributed training and inference
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Airflow | Argo | Azure Machine Learning | CI/CD | Data Pipelines | Distributed Training | Docker | Embeddings | Feature Store | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Helm | Horovod | Kubeflow | Kubernetes | MLflow | Machine Learning | PyTorch | PyTorch Lightning | Python | Ray | Real Time | Real Time Retrieval | SQL | TensorFlow | Terraform | Vector Databases | Vertex AI | Weights and Biases
Education
N/A
Regions
Countries
States
Cities
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