Senior Machine Learning Engineer
Tasks
- Assemble complex datasets
- Build AI pipeline architecture
- Build evaluation frameworks and benchmarks
- Create analytics and data tools
- Deploy ML models in production
- Design scalable machine learning infrastructure
- Develop and evaluate ML models
- Develop monitoring and observability
- Drive AI initiatives
- Ensure model reliability and performance
- Establish data engineering best practices
- Implement model versioning experimentation reproducibility
- Implement process improvements
- Implement responsible AI
- Improve ML infrastructure stability scalability observability security
- Optimize data ecosystem for insights
Perks/Benefits
- Case by case accommodation for medical beliefs
- Case by case accommodation for religious beliefs
- Remote work flexibility
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Data Engineering | Experimentation | Language Models | Large Language Models | MLOps | Machine Learning | Machine Learning Pipelines | Model Evaluation | Model Monitoring | Model versioning | Observability | Python | Reproducibility | SQL | Security | Transformers
Education
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