Senior Python Engineer – AI/ML & BDD Frameworks
When you join us at Thermo Fisher Scientific, you’ll become a member of a hard-working, motivated team that aligns with your enthusiasm for exploration and discovery. With revenues exceeding $40 billion and the largest investment in R&D in the industry, we provide our people with resources and opportunities to make significant contributions to the world.
How will you make an impact
Work on backend platform software that powers advanced scientific instruments used in semiconductors, life sciences, and materials research. We are seeking an experienced Automation Lead (6–10 years) to drive the development, enhancement, and adoption of an advanced automation platform with AI/ML-enabled capabilities. This role will technically lead a team of Python automation engineers, architect robust automation solutions using Behavior-Driven Development (BDD) frameworks and integrate LLM services (Azure OpenAI preferred) to accelerate test authoring, classification, and execution.
Design, Develop, and maintain a scalable QA tool/framework for desktop and web applications using Python, PyTest, PowerShell and related technologies.
Architect and manage data pipelines for processing, classifying, and mapping BDD steps to automation objects, including structured data handling (CSV/JSON).
Collaborate with QA, DevOps, and Product/Engineering teams to integrate automation into CI/CD pipelines (e.g., Jenkins) and release workflows.
Own and improve the platform’s deployment and onboarding (“start-to-use”) experience, including validation checks, troubleshooting guidance, and user enablement documentation.
Drive continuous improvement in automation strategy, framework reliability, reporting, and scalability.
