LambdaTest is a cloud-based testing platform aimed at bringing the whole testing ecosystem to cloud. LambdaTest provides access to a powerful cloud network of 2000+ real browsers and operating system that helps testers in cross-browser and cross-platform compatibility testing. The product roadmap is evolving and there are many more functionalities and features which will be added to the product. The company is angel funded by the leading investors and entrepreneurs of the industry. We are growing at a fantastic rate. This is an incredible opportunity for someone talented and ambitious to make a huge impact. Qualities: Ability to create tools, microsite, devOps and technical solution for testing. Good debugging skills and programming knowledge. Good in manual testing and white box testing.Requirements and Qualifications: 1- 3 years Job Experience (startup preferred) Expert in at least 1 programming language. QA Framework knowledge. Developer attitude with good problem Solving Skills Any raw development talent with a QA attitude will work for us. Ability to write unit and integration tests. Understanding of testing frameworks. Good knowledge of Web driver APIs like Actions Class, Select Class, and Alert. Experience with Continuous Integration and Continuous Delivery tool such as Jenkins. Knowledge about DevOps Tools. Experience in Bug tracking and reporting.
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.