Lead GenAI Engineer - (CREQ256725) Description We are seeking a highly skilled Senior Lead GENAI Engineer with a strong background in Generative AI and agentic AI technologies. The ideal candidate will lead AI/ML engineering projects, driving innovation and
Software Engineer III (Full-Stack) Job Title: Software Engineer III Description: In this role, you’ll collaborate with cross-functional teams, contribute to building scalable, high-quality solutions, and grow in a culture that values innovation, collaboration, and continuous learning. This role
JOB DESCRIPTION Job Title: Senior Data Engineer – (Cyber Security Analytics, Intelligence & AI) Location: Sysco LABS – Hybrid About the Role This position is with the Cyber Analytics & Business Intelligence program at Sysco where you’ll
Tech Lead - AIML - (CREQ256699) Description We are seeking a highly skilled Senior Lead GENAI Engineer with a strong background in Generative AI and agentic AI technologies. The ideal candidate will lead AI/ML engineering projects, driving
Executive ‐ Industrial Engineering (BASED AT BIYAGAMA) Silueta (Pvt) Ltd, a wholly owned subsidiary of MAS Holdings, specializes in no-sew bonding technology and advanced thermal moulding capabilities. With operations in Sri Lanka and additional facilities in
Executive ‐ Industrial Engineering (Based at Biyagama) Silueta (Pvt) Ltd, a wholly owned subsidiary of MAS Holdings, specialises in no-sew bonding technology and advanced thermal moulding capabilities. With operations in Sri Lanka and additional facilities in
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,
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
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,
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 data,