DS/ML Engineer
Tasks
- Automate deployments, testing, and monitoring
- Build data and model pipelines
- Build machine learning and AI services
- Build models for real-world problems
- Build scalable language services
- Develop and groom experiment backlog
- Mentor team members
- Monitor production machine learning solutions
- Optimize models for production throughput and uptime
- Test validate and deploy machine learning services
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | Entity Resolution | Experiment tracking | Kubeflow | MLOps | MLflow | Machine Learning | Model Deployment | Monitoring | NLG | NLP | NLU | Python
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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