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nlp azure docker aws kubernetes๐ Description
- Measure and ensure high-quality ML workloads for enterprise customers.
- Design, build, and measure production software in the Contentful Platform.
- Conduct focused research and testing using tools like Jupyter Notebook.
- Optimize generative AI products for accuracy, speed, scalability.
- Integrate ML cloud solutions and adapt to large-scale use cases.
- Integrate prompt engineering and fine-tuning for customer use cases.
๐ฏ Requirements
- Proven experience as a technical leader in product software development
- Proven track record in model development, deploying LLM NLP models in production
- Ability to translate customer needs into ML features
- Familiarity with distributed systems and cloud services (AWS, Azure, GCP)
- Experience with Docker or Kubernetes
- Up-to-date on the latest LLM developments and research
๐ Benefits
- Stock options for shared company success
- Fertility and family-building benefits
- Work-life balance and You Time with generous PTO
- Personal annual education budget
- Wellbeing stipend
- Monthly phone/internet stipend
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