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Why Qualysoft?Founded in Vienna in 1999, Qualysoft is a software engineering company delivering cost-effective and high-performing IT solutions. We are over 400 engineers located across 9 countries: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia.End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software DevelopmentStrategic partnerships - Microsoft Cloud Certified Partner, Tricentis Solutions Partner, Creatio Exclusive Partner, Doxee Implementation PartnerCutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test AutomationTop-tier global clients including Raiffeisen Bank, Morgan Stanley, Deutsche Bank, Orange, Deutsche Telekom, Metro, Auchan, Siemens, Hitachi, General Electric, Porsche, Daimler Truck, Bitdefender, IBM, Accenture and many moreStable growth and revenue increase year over year, a resilient organization in volatile IT market conditions. We offer the job security of a multinational under a start-up mentality.Job Key Responsibilities:Collaborate with Global region stakeholders to identify Business needs and translate them into workable production ready solution.Creating data transformation infrastructure, managing data ingestion, for AI/ML related processes.Transforming models into production-ready APIs, microservices, and software applications. Monitoring model performance, ensuring scalability, and updating systems to maintain accuracy.Building and maintaining the necessary IT infrastructure (cloud platforms like AWS/GCP, containerization) for AI development.Working with data scientists, engineers, and product managers to define AI strategies and implement features.Ensure robust documentation of AI processes, standards, and controls in line with the Bank’s data governance policies.Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and delivery cycles.Stay current with emerging AI trends, including Generative AI and large language models (LLMs), and be prepared to integrate these advanced techniques into solutions where they can drive significant business value.Support the production of scalable and optimized AI/machine learning (ML) modelsFocus on building algorithms for the extraction, transformation and loading of large volumes of real time, unstructured data to deploy AI/ML solutionsRun experiments to test the performance of deployed models and identifies and resolves bugs that arise in the process.Work with the relevant software platforms in which the models are deployed.
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