Senior Python Engineer – AI/ML & BDD Frameworks
Thermo Fisher Scientific (company site, opens in a new tab)6–10 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 12 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead development and enhancement of a scalable Python-based QA automation framework using BDD and AI/ML technologies, including integration with Azure OpenAI and LangChain.
- Architect and manage data pipelines for BDD step classification, automation object mapping, and ensure robust configuration and execution consistency across environments and CI/CD pipelines.
- Mentor and manage automation engineers, drive automation strategy improvements, and own platform deployment, onboarding, and user enablement documentation.
Minimum Requirements
- 6–10 years of experience in Python automation development.
- Strong experience with Python, PyTest, PowerShell, Node.js, and BDD frameworks.
- Experience integrating AI/ML services, specifically Azure OpenAI or similar LLMs, into automation solutions.
- BTech degree in Computer Science, Electronics, or related technical field, or equivalent practical experience.
Ideal Candidate Profile
- Experienced in building and scaling enterprise-grade QA automation platforms with emphasis on modular architecture, observability, and long-term stability.
- Proven ability to lead and mentor a technical team, enforce best practices, and collaborate across QA, DevOps, and Product teams in regulated or scientific domains.
- Hands-on familiarity with AI-assisted development tools (e.g., GitHub Copilot) and Agentic AI concepts to enhance automation productivity.