Location: Colombo,None,None Join one of the BEST WORKPLACES in Sri Lanka! Founded in 2011, SYNERGEN Health is an industry-leading provider of technology-enabled revenue cycle services and solutions for healthcare organizations. Through advanced analytics, artificial intelligence, machine learning, and
About the Role We are seeking a Senior Windows System Engineer to provide advanced administration, maintenance, and troubleshooting across customer Microsoft infrastructure environments. You will work extensively with Windows Server, Windows workstations, Active Directory, identity services,
BAT is evolving at pace into a global multi-category business. Our purpose is to create A Better Tomorrow by Building a Smokeless World. To achieve our ambition, we are looking for colleagues who are ready to
John Keells Holdings PLC (JKH) is Sri Lanka’s largest listed conglomerate in the Colombo Stock Exchange. From managing hotels and resorts in Sri Lanka and the Maldives to providing port, marine fuel and logistics services to
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
ABOUT MATIFIC Matific is a fast-growing, AI-first global EdTech company delivering a world-class, research-driven mathematics learning platform for schools. Used by millions of students, teachers and families in over 70 countries, Matific empowers learners through interactive, adaptive
Join one of the BEST WORKPLACES in Sri Lanka! Founded in 2011, SYNERGEN Health is an industry-leading provider of technology-enabled revenue cycle services and solutions for healthcare organizations. Through advanced analytics, artificial intelligence, machine learning, and automation, SYNERGEN
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,
Key Responsibilities Design, develop, and optimize classical machine learning models (e.g., regression, classification, clustering, time-series forecasting, anomaly detection) Build and deploy deep learning models using frameworks such as TensorFlow or PyTorch for structured, unstructured, and multimodal data Fine-tune and
Key Responsibilities Define and drive enterprise-level architecture for Data Science, AI/ML, Generative AI, and Agentic AI solutions, ensuring alignment with organizational strategy and technology roadmaps Lead the design of scalable, secure, and high-performance AI platforms, covering