Job Responsibilities Testing of AI based conversational products Monitoring and improving quality assurance process ensuring any agreed-upon standards and procedures are followed Providing a high level of data quality awareness across multiple teams Evaluating and identifying where enhancements in accuracy of models are required Detailed testing feedback preparation to help the team to improve AI models Requirements Good focus for delivering high quality products and passionate about learning new technologies Should have passion for Manual & Automation Testing, Test Planning, Test Cases, Preparation and Execution Should have experience in API testing and scripting languages, like Python Should have experience working on BDD (Behavior Driven Development) platform Bachelor in Computer Science or related Engineering field 3-6 years of relevant experience Should understand testing requirements related to the current project/product Ability to work in a fast-paced and dynamic work environment Excellent knowledge of Manual Testing concepts and tools Exposure to New technology, Problem solving skills, Self-motivated and self-starter, work independently Learning attitude and confident on the QA related Processes Knowledge in any Database (MySql, etc) is a plus Excellent written and verbal communication
About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.