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Artificial Intelligence • Healthtech • Information Technology • Biotech
Lead and govern technical cyber assurance initiatives, conduct penetration testing and security audits, design AI-related risk frameworks and guardrails, review secure architectures, assess authentication and network security, manage cybersecurity assurance projects, and advise stakeholders on mitigation strategies and governance.
Top Skills:
Ai-Assisted Software Development PlatformsAPIsCyber Kill ChainGitGitlabMitre Att&CkMobileNetworkNist Incident Handling GuidelinesOwasp Top 10 For LlmsSsdlcWeb
Financial Services
Support multi-asset investment strategy through research across macro, equities, fixed income and alternatives; monitor macro and market developments; assist with model maintenance, data gathering and scenario analysis; produce investment notes, outlooks and client materials; collaborate to design, build and deploy agentic AI tools, document architectures and best practices, and liaise with technology stakeholders.
Top Skills:
Agentic AiAPIsFinancial NlpMachine LearningNatural Language ProcessingPython
Healthtech • Information Technology • Internet of Things
Lead applied-AI innovation across the full lifecycle: discover problems, prototype and pilot AI/ML (including Generative and Agentic AI), then hand over to product and engineering. Mentor a small team, collaborate with stakeholders and senior leadership, and build healthcare-focused IP and production-ready AI capabilities.
Top Skills:
Anthropic ApiAzureClaude CodeCodexDatabricksGithub CopilotLanggraphLlm ApisMlflowOpenai ApiPysparkPythonPyTorchSparkSQL
Responsibilities
- Develop data pipeline to process and analyse large amounts of information and prepare training datasets
- Build predictive models and machine-learning algorithms, discover trends and patterns
- Develop and implement generative AI models to address real-world challenges across various domains, including natural language processing, image, video and voice generation
- Conduct research on emerging generative AI techniques and algorithms
- Collaborate with cross-functional teams to design and deploy AI solutions
Requirements
- Experience in ML modeling techniques, supervised/unsupervised learning, deep learning frameworks, and generative AI, and NLP
- Experience with prompt engineering, prompt optimization, and multimodal generative AI
- Strong programming skills in Python and Unix/PowerShell scripting
- Experience with cloud computing platforms AI technologies such as AWS, GCP or Azure
- Experience in using LLMs such as Hugging Face ML models, GPT, Claude, etc
- Stay updated with the latest advancements in AI Technologies
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Crypto.com Singapore, Singapore, SGP Office
Singapore, Hong Kong
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.
