We are looking for a Senior Software Engineer to support the deployment, monitoring, and operational reliability of AI-powered systems in production environments. The ideal candidate should be comfortable working with cloud infrastructure, monitoring and observability tools, and
About the Role We are seeking an experienced AI Solutions Engineer to take ownership of the technical delivery of AI-powered solutions, automation, integrations, and internal AI operating systems. This role is ideal for a hands-on full-stack engineer who has
ROLE PROFILE: Self-starting, passionate and intellectually curious Senior Data Protection Engineer to join the LSEG Storage and Data Protection team. Responsible for administering and engineering the data protection platform while driving automation, reliability, observability and operational
iLabs is a global software product engineering company headquartered in Sri Lanka, with deep roots in the US Silicon Valley. We deliver world-class solutions in Web, eCommerce, Mobile, AI/ML, and Cloud technologies, serving industries such as fintech,
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world
About the Role We are seeking an experienced Senior Full-Stack Engineer to join our clients engineering team and lead the design and development of scalable, cloud-native applications. This role combines strong full-stack expertise with hands-on AWS
Key Responsibilities Lead the development and deployment of advanced data science and AI solutions across Machine Learning (ML), Deep Learning (DL), Generative AI, and Agentic AI use cases Lead the end-to-end model lifecycle management, including data ingestion, feature engineering,
About the Company Our client is a technology-driven professional services organisation committed to leveraging modern data, automation, cloud, and AI technologies to improve business performance and drive operational excellence. They foster a collaborative environment where innovation, continuous