Arch Global Services (Philippines) Inc.
Arch Global Services (Philippines) Inc. is a company that provides business process outsourcing (BPO) services, primarily focusing on operations and information technology support. Located in the Philippines, they offer cost-effective offshore services to help companies control costs, scale quickly, and maximize productivity through a skilled and educated workforce. Arch Global Services aims to build dedicated offshore partnerships with businesses to address their operational needs effectively, ensuring no language barriers with their young, professional team. They emphasize their role as a partner in enhancing business efficiency by offering necessary and exceptional outsourcing services.
Provides IT • Finance and Actuary support for Insurance • Reinusrance and Mortgage Insurance clients
Senior Data Scientist - Intelligent Document Processing
March 29
Arch Global Services (Philippines) Inc.
Arch Global Services (Philippines) Inc. is a company that provides business process outsourcing (BPO) services, primarily focusing on operations and information technology support. Located in the Philippines, they offer cost-effective offshore services to help companies control costs, scale quickly, and maximize productivity through a skilled and educated workforce. Arch Global Services aims to build dedicated offshore partnerships with businesses to address their operational needs effectively, ensuring no language barriers with their young, professional team. They emphasize their role as a partner in enhancing business efficiency by offering necessary and exceptional outsourcing services.
Provides IT • Finance and Actuary support for Insurance • Reinusrance and Mortgage Insurance clients
📋 Description
• Ideal candidate has insurance industry experience with NLP and CV • Skilled in transfer learning and Deep Learning • Can work in cloud environments like Databricks on Azure with Python • Navigate API-based generative AI models collaboratively • Deliver production quality data extraction solutions
🎯 Requirements
• Experience applying quantitative methods in a corporate environment • Experience with Python and managing dependencies, virtual environments, and version control in git • Experience with cloud computing platforms such as Azure, AWS, or GCP • Expertise in supervised and unsupervised learning, deep learning, and transfer learning • Experience with generative algorithms and foundation models
🏖️ Benefits
• Competitive pay • Comprehensive benefits package • Professional development programs • Culture encouraging innovation, collaboration, and professional growth
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