Machine Learning Engineer
Tasks
- Build and manage automated containerized deployments
- Design deploy monitor maintain machine learning models in production
- Execute daily MLOps tasks model training inference and deployment maintenance
- Maintain troubleshoot optimize end to end ML pipelines
- Monitor ML pipelines and support pipeline reliability
- Provide production support for real time inference
- Troubleshoot performance reliability and scalability issues
Perks/Benefits
- N/A
Skills/Tech-stack
AI Pipelines | Apache Airflow | Apache Spark | Cloud platform | Docker | Google Cloud | Google Cloud Platform | Inference Server | MLOps | Model Registry | PyTorch | Terraform | Triton Inference | Triton Inference Server | Vertex AI | Vertex AI Model Registry | Vertex AI pipelines
Education
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