Machine Learning Software Engineer in Test

Company: AIR Worldwide
Location: Boston, Massachusetts, United States
Type: Full-time
Posted: 22.MAY.2021


Company Description AIR Worldwide (AIR), a Verisk business, provides risk modeling solutions that make individuals, businesses, and society...


Company Description

AIR Worldwide (AIR), a Verisk business, provides risk modeling solutions that make individuals, businesses, and society more resilient to extreme events. In 1987, AIR Worldwide founded the catastrophe modeling industry and today models the risk from natural catastrophes, terrorism, pandemics, casualty catastrophes, and cyber attacks, globally. Insurance, reinsurance, financial, corporate, and government clients rely on AIR's advanced science, software, and consulting services for catastrophe risk management, insurance-linked securities, site-specific engineering analyses, and agricultural risk management. AIR Worldwide, is headquartered in Boston with additional offices in North America, Europe, and Asia. To learn more about AIR, please visit us at: . We are proud to be a part of the Verisk family of companies!

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.

It's the reason Verisk is part of the UN Global Compact sustainability initiative. It's why we made a commitment to balancing 100 percent of our carbon emissions. It's the aim of our "returnship" program for experienced professionals rejoining the workforce after time away. And, it's what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers' problems.

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do.

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We've been recognized by Forbes as a World's Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce. Verisk's Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.

Job Description

We are looking for a talented SDET with a deep passion for delivering quality to work closely with our growing development team. You will have the opportunity to set up new frameworks, create automated test scripts in a CI/CD environment, work with a variety of AWS services and continually optimize our automation processes

Preferred Qualification

  • Knowledge and/or hands-on experience with AWS infrastructure services highly desired.
  • Professional experience architecting systems built with Amazon Web Services, Microservices, Docker images and containers, requires minimum 1-year coding experience with cloud microservices
  • Experience in developing and designing REST API's based web services, requires minimum 1-year coding experience with dotnet core
  • Experience with web technologies: Angular, Node, JavaScript, CSS3, and HTML5. Requires minimum 1-year of Angular WEB development
  • Experience with DevOps and understand what deployment means using systems like docker, AWS

  • Must have experience with SAAS based automation framework development


    Basic qualification

  • Undertaking machine learning experiments and tests, implementing suitable AI/ML algorithms and designing machine learning programs, requires min 1-year experience
  • Proactively contribute to software performance optimizations and continuous improvements to code quality, robustness, and development processes
  • Experience in an Agile software development environment
  • Deep understanding of OOP principles
  • Expertise in Manual and Automation Testing of Client/Server, Mobile, Web-based and Cloud (AWS) applications.
  • Proven ability in designing and creating automation frameworks using Protractor, Jasmine, Jenkins, Selenium WebDriver,
  • Experience of Creating, Modifying and Maintaining new and existing Automation Framework Models (BDD/TDD/ATDD, Hybrid, Keyword and Data Driven Frameworks).
  • Experience in C#, development by applying different concepts like OOPS concepts, Collections, String s, Exception handling, Multithreading, etc. and experience in Groovy and JavaScript.
  • Worked in DevOps, installing, configuring and integrating Automation scripts on Continuous Integration tools (CI/CD) like Azure for nightly test suite execution and working on knowledge on testing and configuring Amazon Web services (AWS)

  • Technical Skills

    Testing tools: Protractor, Silk4NET, Selenium, Jasmine, Mocha, TestNG, Coded UI

    Web Technologies: Angular JS, ASP.NET, JavaScript, NodeJS, Web Services,

    Defect Tracking Tools: TFS/MTM, JIRA, ClearQuest, HP/Quality Center

    Languages: Python, R, .NET Core, C#, Java, QL

    CI/CD Tools: Jenkins, TFS, Azure, CircleCI, Harness, Canary

    Databases: DynamoDB, MangoDB, RedShift, SQL, Oracle, BigData preferred

    Cloud Services: IAM, Kubernetes, Lambda, CloudFormation, EC2, Docker

    Education and Training
    • B.S. in Computer Science or equivalent; M.S. preferred
    • AWS or Azure Architect certifications are desirable

    Additional Information

    Verisk Analytics is an equal opportunity employer.

    All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

    Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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