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Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead the PMO for global regulatory compliance: manage regulatory reporting and licensing programs, coordinate cross-functional stakeholders, define KPIs, support on-site exams, drive risk reporting and special projects to scale governance and process automation.
Top Skills:
Ai-Driven Process Optimization,Process Automation,Governance Tools,Vendor Management
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead regulatory engagement in Singapore and Asia: manage licences, filings, exams and regulator interactions; advise on product and regulatory change; develop compliance policies, monitoring, training and controls; and support licensing, expansion and compliance risk management.
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Sell SailPoint's Agentic Technology solutions across Singapore and ASEAN as an overlay Enterprise Account Executive. Develop territory and account plans, engage IT and cybersecurity stakeholders, enable internal teams, drive pipeline and quota attainment, manage the full sales cycle, and collaborate with partners, marketing, and leadership to scale Agentic product adoption.
Top Skills:
Sailpoint,Machine Identity Security,Data Access Security,Agent Identity Security,Identity Security,Identity Intelligence,Iaas,Cloud Data Platforms,Salesforce,Clari,Ai
Patsnap is a SaaS-based innovation intelligence service provider headquartered in Singapore with 1200 employees worldwide and customers from more than 40 countries.
Patsnap helps R&D leaders maximize the value of innovation intelligence within their R&D workflow and strategic planning. As the global leaders in connected innovation intelligence, patsnap uses AI technology to comb through billions of datasets, and help innovators connect the dots.
Patsnap has closed a Series E funding round of $300 million in 2021, led by Tencent and SoftBank Vision Fund II, which made Patsnap a technology unicorn.
Requirements
- Domain data extraction, performing data extraction on multimodal data such as text, tables, and images in fields such as life science, intellectual property, materials, and tele-communications;
- Build and iterate large-scale semantic search systems;
- Responsible for the research and implementation of LLM-related technologies, optimization of generative large models, and implementation in business scenarios;
- Read papers, research solutions, design experiments, and have the ability to improve existing systems independently;
- Align large models with business landing through technologies such as SFT, PEFT, DPO/PPO, etc.
Responsibilities
- Master's degree or above in mathematics and computer-related majors;
- Familiar with at least one of Python/Java/C++, with strong engineering capabilities;
- Familiar with common machine learning/deep learning algorithms, familiar with deep learning frameworks such as tensorflow, pytorch, and preferably have experience with large-scale distributed training;
- Understand the principles related to GPT, such as prompt, finetuning, transformer, and other key technologies;
- Have experience in information extraction (entity recognition, relationship extraction, event extraction), machine reading comprehension (document understanding, table understanding), information retrieval (text representation learning, hybrid retrieval), and be familiar with the principles of large models and efficient parameter fine-tuning techniques;
- Work diligently and responsibly, be good at communication, have a strong sense of teamwork, and be eager to learn.
Patsnap Singapore Office
47 Scotts Road - Goldbell Towers, #11-03, Singapore, 228233
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
