PSINet operates an infrastructure services business serving mining and industrial clients across Chile, combining traditional IT management (network support, monitoring, SLA compliance) with emerging AI capabilities. Active projects in deep learning for computer vision and NLP, paired with hiring for fullstack and technical leads, suggest a shift toward ML-driven automation of field diagnostics and remote monitoring — addressing their core pain point of costly on-site visits and equipment risk.
Notable leadership hires: Fullstack Lead, Technical Lead
PSINet is a Chilean infrastructure integration and IT services company founded in 2001, headquartered in Santiago. They serve mining and industrial operations with a bundled offering: technology infrastructure management, monitoring and analytics, network support, and equipment diagnostics. The tech stack spans cloud platforms (GCP, AWS, Azure), data tools (Power BI, PostgreSQL, MongoDB), and networking infrastructure (Cisco, TCP/IP, DNS, DHCP). Recent project work in deep learning models for computer vision and NLP, combined with REST API and CI/CD pipeline development, indicates a move into predictive and remote diagnostics to reduce on-site operational overhead and improve uptime guarantees.
Angular, Power BI, PyTorch, TensorFlow, Python, PostgreSQL, MongoDB, GCP, AWS, Azure, Cisco, TCP/IP, DHCP, and DNS. Stack spans cloud infrastructure, data analytics, ML frameworks, and networking hardware.
Deep learning models for computer vision and NLP; integration of ML models into scalable software architectures with REST APIs and CI/CD pipelines; mining operations support and IT management infrastructure.
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