Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.
About the Role
As 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
- 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.
