Description

SparkCognition catalyzes sustainable growth for their clients throughout the world with proven artificial intelligence (AI) systems, award-winning machine learning technology, and a multinational team of AI thought-leaders. Clients are trusted with advancing lives, infrastructure, sustainability, and financial systems across the globe. They partner with SparkCognition to understand their industry’s most pressing challenges, analyze complex data, empower decision-making, and transform human and industrial productivity. With leading-edge artificial intelligence products—Darwin®️, DeepArmor®️, SparkPredict®️, and DeepNLPTM—SparkCognition’s clients can adapt to a rapidly changing digital landscape and accelerate their business strategies.

We are looking for a strong QA Engineer: SDET with Data Science

If you were already working for us, you would be:

• Validating the end to end functionality and integrity of an enterprise-grade solution
• Working in an agile team environment in an onshore-offshore model
• Creating and executing both automated and manual regression and functional tests
• Documenting test plans and test cases in test case repository
• Managing shifting priorities, while solving complex issues independently

You might be a fit for our team if you:

• Have a foundation of Data Science and Machine Learning Principles
• Write maintainable code in a scripting/programming language like Shell, Python, Scala, or Java for test case automation
• Understand quality principles and practices
• Have an aptitude for understanding software technologies like queuing/streaming systems and databases
• Are well versed with the knowledge of the challenges of testing integrated software systems
• Have strong diagnosing and troubleshooting skills with software
• Have creative approaches to testing complex enterprise systems
• Can interact across multiple teams of varying disciplines
• Are independent, self-sufficient, and technically savvy
• Possess excellent verbal and written communication skills

It would be a bonus if you:

• Were familiar with DevOps Practices
• Had some experience with statistical analysis
• Have a developer mindset