AI Engineer
Tasks
- Analyze experiment results
- Annotate datasets
- Anonymize datasets
- Automate AI infrastructure
- Automate model release pipelines
- Benchmark model performance
- Build data lakes
- Build internal benchmarks
- Collect datasets
- Design data pipelines
- Develop automated training frameworks
- Develop chatbot applications
- Develop detection systems
- Ensure scalability
- Evaluate model quality
- Implement performance improvements
- Integrate state-of-the-art research
- Maintain data governance
- Optimize data pipelines
- Reduce infrastructure cost
- Research machine learning methods
- Test machine learning models
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Machine Learning | Anonymization | Apache Kafka | Apache Spark | CI/CD | Cloud Computing | Data Engineering | Data Privacy | Docker | GDPR | Kubernetes | MLOps | Machine Learning | Python | REST APIs | SQL
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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