Staff Machine Learning Engineer
Tasks
- Architect ML systems
- Build production data pipelines
- Collaborate with data scientists and product managers
- Deploy production ML models
- Detect model drift
- Implement MLOps practices
- Implement model observability
- Mentor engineers on ML standards
- Monitor model performance
- Set up CI/CD pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS Step Functions | Amazon Bedrock | Amazon CloudWatch | Amazon Managed Streaming for Apache Kafka | Amazon S3 | Amazon SageMaker | Apache Kafka | CI/CD | Content Moderation | Data Quality | Data quality monitoring | Deep learning | Generative AI | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | Personalized Search | Prompt engineering | PyTorch | Quality monitoring | Recommendation Systems | Regression testing | Retrieval-Augmented Generation | Scikit-learn | Security | Sentiment Analysis | Step Functions | Supervised Learning | TensorFlow | Test automation | Unsupervised Learning | Version control
Education
N/A
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