Machine Learning Engineer
Tasks
- Design, build, and maintain scalable ML systems
- Develop and optimize end to end ML pipelines
- Ensure data quality observability and performance
- Implement MLOps practices
- Integrate and deploy models into real time products
- Monitor and manage ML models in production
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Audio Processing | CI/CD | Cloud platform | Continuous Monitoring | Dagster | Data Pipelines | Data Preprocessing | Deep learning | Docker | Experiment tracking | Generative AI | Go | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | LLMs | Language Processing | MLOps | MLflow | Machine Learning | Model Training | Model Validation | Model versioning | NLP | Natural Language | Natural Language Processing | Prefect | Python | Real Time | Real-time Inference | Speech Recognition | Text to Speech | Weights and Biases
Education
N/A
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