Detailed description of work task to be carried out
Act as a bridge between business needs and developers to ensure the delivery of high quality IT solutions based on the requirements coming from business that need to be translated into functional and non-functional requirements
- Helping to design advanced solutions around data and analytics
- Working closely together with stakeholders across Bank to understand the expected outcome and elicit business features
- Managing delivery dependencies towards other teams and organization units across Bank
- Working in an Agile environment as an integral part of the cross-functional agile delivery team
- Have a strong solution-oriented and analytical mindset
- Thrive when working with complex end-to-end solutions and processes
- Have ability to grasp new technologies quickly (on high level) and able to ask right questions
- Is fluent communicator and have experience on working with business users
Must-have knowledge and experience
• Implementation of AWS SageMaker in direct collaboration with data scientists who will be end users
• Communication skills
• Analytical thinking and problem solving
• Familiarity with basic concepts in machine learning, CI/CD pipeline, big data
• Knowledge of SQL and Python
Nice-to-have knowledge and experience
• Implementation of model monitoring and ML Ops capabilities
• Integration of AWS SageMaker model output with cloud/hybrid/on-prem solutions
• Advanced knowledge of ML algorithms
• Knowledge of Spark/Scala
Location: Gdynia, Gdańsk preffered (eventually Warsaw or Łódź)