Job Title

Project descriptionDeveloping cloud-based compliance state-of-the-art archive products to archive and retain real-time communications data in line with internal and external regulatory requirements. The product is developed in-house in an agile development setup based on business requirements from multiple stakeholder parties. By employing continuous development and deployment principles, the team is aiming to transition from project to product management to support the bank with robust compliance archive solutions for the next decade.For a large global investment bank, we are looking for GCP-qualified cloud engineers to help with the FIC (fixed income and currencies) cloud migrations under Project Cirrus.Knowledge of Financial Services/FIC would be great, but the primary skills we need are in building, migrating, and deploying applications to GCP, Terraform module coding, Google infrastructure, cloud-native services such as GCE, GKE, CloudSQL/Postgres, logging and monitoring, etc., & good written and spoken English, as we would like these engineers to help with knowledge transfer to our existing development & support teams.We would like to place people alongside the engineers they'll be working with in the bank.ResponsibilitiesDevelop and implement AI models using Microsoft AI Builder within Power Apps and Power Automate.Build and integrate predictive models, form processing, and object detection solutions.Collaborate with business teams to identify automation opportunities and deliver scalable AI solutions.Ensure data quality, security, and compliance in AI workflows.Monitor and optimize AI models for accuracy and performance.SkillsMust haveHands-on experience with Microsoft Power Platform (Power Apps, Power Automate) and AI Builder.Strong understanding of AI/ML concepts, data modelling, and model lifecycle management.Proficiency in JavaScript, Power Fx, and integration with APIs.Familiarity with Azure Cognitive Services and Dataverse.Good knowledge of SQL and data handling.Nice to haveExperience with Python or R for advanced AI/ML scenarios.Exposure to cloud platforms (Azure AI, Azure Machine Learning).Knowledge of Power BI for analytics integration.