About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-after startups in India upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany. We were also covered by the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partner for Government of India - Startup India program too Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning About the Role We are looking for a technically curious, Software Development Engineer in Test to develop core test automation infrastructure to make testing cycles efficient. In this role, you will be responsible to develop UI and API level automation infrastructure that will simplify adding new automated tests, for the product team. This is a growing team, which makes for many opportunities to be involved directly with product management, development, sales, and support teams. Everybody on the team is passionate about their work and we’re looking for similarly motivated “get stuff done” kind of people to join us! Key Responsibilities Collaborate with cross-functional teams, Product Managers and Developers to define the project quality goals, testing strategy, test plan, and test cases Review test-design, guide other team members to improve quality, report product/solution quality, escalate if needed: be the gatekeeper for quality Build test automation infrastructure and automate test cases Engineering dashboards (e.g. JIRA) to provide insights into test cycles Be ready to adapt to the changing priorities Ensure tests are running in Continuous Integration (CI) model and moving towards Continuous Delivery (CD) goal Play well with others! Be a great teammate and help maintain our positive culture Knowledge and Skills 1+ years of relevant QA / SDET / Testing experience Strong knowledge of software QA methodologies, tools and processes Experience with anyone programming or scripting language (Java, Ruby, Python, C# etc) Exposure to any of web / mobile automation tools (Selenium Webdriver, Appium, Capybara, Calabash etc) Experience using defect tracking solutions (JIRA, Bugzilla, QC etc) Good to have Experience in API Testing, Security Testing and Performance Testing (JMeter, Gatling etc) Familiar with SQL and popular databases (Postgres, MySql etc) Experience in using Build automation tools (Maven, Gradle, bundler etc) Experience in using Continuous Integration tools (Jenkins, Hudson etc) Experience in using BDT frameworks (Jbehave, Cucumber, Lettuce etc) Worked on Agile Scrum/KanBan methodology
SDET Responsibilities: • Reviewing quality specifications and technical design documents to provide timely and meaningful feedback • Creating detailed, comprehensive and well-structured test plans and test cases • Estimating, prioritizing, planning and coordinating quality testing activities Job brief We are looking for a Quality Assurance (QA) engineer to develop and execute exploratory and automated tests to ensure product quality. QA engineer responsibilities include designing and implementing tests, debugging and defining corrective actions. You will also review system requirements and track quality assurance metrics (e.g. defect densities and open defect counts.) The QA technician role plays an important part in our company’s product development process. Our ideal candidate will be responsible for conducting tests before product launches to ensure software runs smoothly and meets client needs, while being cost-effective. If you hold an engineering background and enjoy providing end-to-end solutions to software quality problems, we’d like to meet you. Ultimately, you should monitor all stages of software development to identify and resolve system malfunctions to meet quality standards. Responsibilities • Review requirements, specifications and technical design documents to provide timely and meaningful feedback • Create detailed, comprehensive and well-structured test plans and test cases • Estimate, prioritize, plan and coordinate testing activities • Design, develop and execute automation scripts using open source tools • Identify, record, document thoroughly and track bugs • Perform thorough regression testing when bugs are resolved • Develop and apply testing processes for new and existing products to meet client needs • Liaise with internal teams (e.g. developers and product managers) to identify system requirements • Monitor debugging process results • Investigate the causes of non-conforming software and train users to implement solutions • Track quality assurance metrics, like defect densities and open defect counts • Stay up-to-date with new testing tools and test strategies Requirements • Proven work experience in software development • Proven work experience in software quality assurance • Strong knowledge of software QA methodologies, tools and processes • Experience in writing clear, concise and comprehensive test plans and test cases • Hands-on experience with both white box and black box testing • Hands-on experience with automated testing tools • Solid knowledge of SQL and scripting • Experience working in an Agile/Scrum development process • Experience with performance and/or security testing is a plus • BS/MS degree in Computer Science, Engineering or a related subject
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.