DS/ML Engineer
Tasks
- Automate deployments, testing, and monitoring
- Build machine learning models for production services
- Build scalable language services
- Create data and model pipelines
- Define approaches to solve problems with machine learning
- Deploy solutions for real world impact
- Design NLP NLU and NLG pipelines
- Develop and manage experiment backlog
- Optimize models for production throughput and uptime
- Test validate and monitor machine learning services
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Bedrock | Amazon SageMaker | Experiment Management | GenAI | Kubeflow | LLM | MLOps | MLflow | Machine Learning | NLG | NLP | NLU | Python | Recommendation Engines
Education
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