Data Scientist, Ai & Python
SOAIS
Data Scientist - AI & Python
Key Responsibilities
- Design and develop AI-powered automations for software engineering activities.
- Build intelligent solutions for testing, validation, and quality assurance.
- Develop workflow automation using LLMs, Computer Use Agents, and Vision Models.
- Create reusable automation frameworks using Python and TypeScript.
- Automate end-to-end application and business workflows.
- Benchmark and evaluate AI solutions using DeepEval.
- Integrate automation capabilities into engineering pipelines and operational processes.
- Analyze and improve quality, reliability, efficiency, and developer productivity.
- Collaborate with engineering teams to identify automation opportunities across the SDLC.
Requirements & Tech Stack
- Programming Languages:
- Python
- TypeScript
- Automation Platforms:
- Playwright
- Puppet
- AI Engineering:
- Prompt Engineering
- Large Language Models (LLMs)
- Computer Use Agents (CUA)














