Description

Job Title: Data Science Quality Engineer

We are seeking a highly skilled and motivated Data Science Quality Engineer to join our team for the OPEN Q & QUBED software applications. The ideal candidate will have a strong background in quality assurance, data science, and software engineering, with a focus on generative AI and machine learning operations.

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.
• Apply statistical and mathematical techniques to test machine learning models.
• Provide insights and recommendations for improving the quality of AI models and software applications.

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
• Next.js, React, Typescript (Front end subject to change)

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