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Job description

Role & responsibilities About the RoleAs a Python Quality Engineer, you will be involved in Python-based automation initiatives including AI/ML model testing and framework development. More specifically, you will work on: • Designing Frameworks, developing Proof of concepts and accelerators, and executing effectively/independently. • Designing and implementing automation for Data, Web, and Mobile applications. • Taking part in Demos, Planning, etc., with the rest of the team. • Collaborating with business consultants, data scientists, engineers, and application developers Internal Skills And Expertise • Must have Strong knowledge and experience in Python Programming Language • Basic knowledge of AI/ML and Data science models and related libraries (scikit-learn, matplotlib, etc.) • Ability to independently design, develop, and architect highly available, highly scalable accelerators and frameworks from scratch • Hands-on experience with Pytest, Selenium, Pyspark, Numpy, Pandas • Must have SQL and database Knowledge. • Strong knowledge of CI/CD pipeline (Azure/Jenkins). • Good knowledge of RESTful interfaces / Microservice concepts • Strong Experience in building frameworks using Appium, Selenium, Pytest, Requests, and or related Libraries. • Strong knowledge of Web Scraping using Python-based tools such as Scrapy, and BeautifulSoup • Good knowledge of Dockers and Kubernetes is good to have • Good knowledge of cloud platforms AWS/Azure/GCP • Ability to quickly learn and apply complex technical information to testing situations. • Attention to detail and ability to effectively escalate issues and manage escalations. • Experience with Agile methodology • Excellent written and communication skills Preferred candidate profile

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