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Data Science Quality Engineer
hace 2 semanas
**The Role**:
**Responsibilities**:
- Develop and implement quality assurance processes for data science projects.
- Collaborate with data scientists and software engineers to ensure the accuracy and reliability of AI models.
- Conduct API testing, including NFT calls to OpenAI.
- Manage CICD pipelines using GitHub Actions, with a focus on staging and development environments.
- Perform Docker containerization and AWS cloud deployment.
**Requirements**:
- Knowledge of Generative AI.
- Experience with CICD GitHub Actions, with a focus on staging and development environments and quarterly production releases.
- Strong API testing skills, including NFT calls to OpenAI.
- Proficiency in Docker.
- Experience with AWS.
- Expertise in ML Ops, including statistical and mathematical testing of machine learning models.
- Background in software engineering.
**Optional Skills**:
- Experience with guardrails from a QA perspective, particularly in dealing with LLM GI.
**Tech Stack**:
- Python, FastAPI, OpenAI/AWS Bedrock, Pytest
**C - LSK- 02042025**
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