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Top AI & Machine Learning Jobs in Singapore
Reposted 4 Days AgoSaved
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
As Product Manager, you will own the vision and roadmap for Mastercard's Responsible AI and Privacy Enhancing Technologies Toolkit, ensuring product features align with governance, privacy, and regulatory expectations, while driving adoption and product outcomes.
Top Skills:
AIDataGovernance ToolingPrivacy Enhancing Technologies
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Senior AI Engineer designs and develops scalable AI/ML systems, operationalizes models, ensures reliability and observability, and mentors junior engineers.
Top Skills:
AICi/CdData EngineeringMlPython
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead technical product strategy and solution architecture for AI capabilities in China. Define roadmaps, design deployable AI/LLM architectures across cloud/on-prem/sovereign environments, create reusable reference patterns, align stakeholders, and ensure adoption, trust, and operational readiness.
Top Skills:
Amazon SagemakerAPIsAzure MlCloud (Hybrid/On-Prem/Sovereign)DatabricksDistributed SystemsGenerative AiLlm ArchitectureModel Lifecycle ToolingOrchestration FrameworksPythonSQL
Reposted 16 Days AgoSaved
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Partner with clients to design and deliver end-to-end analytics and data science solutions. Manage project workstreams, synthesize quantitative and qualitative analyses into recommendations, lead client presentations, mentor junior consultants, and contribute to solution development and intellectual capital.
Top Skills:
ExcelHadoopHiveImpalaPower BIPowerPointPysparkPythonRSASSQLTableauWord
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Principal AI Engineer leads the design and operationalization of complex AI systems, architecting multi-agent solutions while ensuring safety, reliability, and performance. They mentor engineers and improve processes and products based on measurable outcomes.
Top Skills:
AIData EngineeringMachine LearningMlSoftware Engineering
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