Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into
Company Description Variosystems develops and manufactures electronic solutions for industries where reliability is critical - including Medtech & Life Science, Industrial & Automation, Aerospace & Defence and Smart Infrastructure & Environment. As a long-term strategic partner
Company Description Variosystems develops and manufactures electronic solutions for industries where reliability is critical - including Medtech & Life Science, Industrial & Automation, Aerospace & Defence and Smart Infrastructure & Environment. As a long-term strategic partner
Company Description Variosystems develops and manufactures electronic solutions for industries where reliability is critical - including Medtech & Life Science, Industrial & Automation, Aerospace & Defence and Smart Infrastructure & Environment. As a long-term strategic partner
Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on
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
· Design and build AI agents and end-to-end solutions that solve problems spanning multiple technical and manufacturing domains. · Work directly with domain PhDs and subject-matter experts to understand, document, and map complex processes. · Translate
Role Overview The Senior Elastic Engineer leads the design, optimization, and strategic evolution of Elastic environments that support advanced security and observability use cases. This role combines deep hands-on engineering with architectural leadership, with responsibility for scalability,
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 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