DS/ML Engineer
Tasks
- Automate deployment, testing, and monitoring
- Build machine learning and AI services
- Build real-world problem-solving models
- Deploy and monitor ML solutions
- Design NLP NLU NLG language services
- Develop data and model pipelines
- Develop experiment backlog
- Implement MLOps pipelines
- Optimize models for production throughput and uptime
- Test and validate ML services
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Bedrock | Amazon Lex | Amazon SageMaker | Kubeflow | LLM | Language Processing | MLOps | MLflow | Machine Learning | NLG | NLP | NLU | Natural Language | Natural Language Processing | Python
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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