Data Engineer / ML Ops
Tasks
- Automate model training and deployment
- Build and deploy data pipelines
- Improve infrastructure and monitoring tools
- Integrate MLOps best practices with Data Science and DevOps
- Manage Kafka data streams
- Optimize scalability and performance on GCP
- Train and optimize LLM models
Perks/Benefits
Skills/Tech-stack
Cloud platform | Data Pipelines | Google Cloud | Google Cloud Platform | Kafka | Language Models | Large Language Models | MLOps | Machine Learning | Monitoring | Python | SQL
Education
Roles
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