- A completed PhD in a relevant scientific field, or an MD with a clinical specialization. Applicants must be out of current degree-program enrollment.
2 days
5,000+ Aia Jobs - November 2026 - High Salaries - Page 132
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- Monitor mandatory compliance training completion through LMS platforms, following up with employees and stakeholders to ensure timely completion.
2 days
- Collaborate with data science and mobile teams to build robust API contracts, vector search systems, and caching mechanisms.
2 days
- Develop and standardise network configurations, operational runbooks and delivery processes; identify and follow up on recurring issues to prevent recurrence.
2 days
- AI Solution Exposure: Curiosity about designing AI-driven solutions to operationalize Application Management Services and interest in translating business requirements into scalable AI capabilities.
2 days
- AI Solution Exposure: Curiosity about designing AI-driven solutions to operationalize Application Management Services and interest in translating business requirements into scalable AI capabilities.
2 days
2 days
People Analytics - Process Optimization and AI Specialist
- In this role, you will partner closely with HR Tech, Analytics, People Operations, Rewards and regional HR teams to build a scalable, intuitive HR operating model that grows alongside our business. Working alongside the Rewards Manager and broader People team, you will collect, structure, and analyze workforce data to empower data-driven decisions while directly improving the way our HR processes operate globally. Your mission is to simplify complex workflows, eliminate manual bottlenecks, and drive consistency across regions, ensuring our systems and day-to-day practices remain practical for local teams while elevating the overall experience for both employees and HR colleagues.
2 days
- Assist with model integration and performance optimisation across live product surfaces
2 days
- Prospecting & Lead Generation: Identify and develop new business opportunities through cold outreach, networking, referrals, industry events, partnerships, and other relevant channels.
1 day
AI Value Creation Senior Principal - Singapore
- Leverage Google, customer, and third-party data, frameworks, models, and tools to justify and accelerate customers’ investment decisions.
Today
3 days
3 days
Research Engineer (LLM and AI Applications) - FG
- Integrate LLM-based applications with computer vision models, sensor data, and other AI components to support intelligent inspection and diagnosis.
3 days
AI Trainer (Full Time - Part Time)
- AI applications for business operations and decision-making
1 day
- Design the core capabilities of the AI product: intent understanding, task decomposition, tool use, context and memory, human-in-the-loop interaction, and safety guardrails.
1 day
AI Training Specialist - Indonesian Language Expert
- Collaborate on diverse AI training projects across multiple fields.
3 days
Senior Data Services - AI Engineer
- Support production systems, including monitoring, troubleshooting, and incident resolution.
15 days
- Translate business and non-functional requirements into technical architecture specifications
3 days
15 days
- Review code, application architecture, and technical designs while providing hands-on technical guidance.
15 days
Cloud AI work load orchestration engineer
- Minimum qualifications:
5 days
Senior Data Services - AI Engineer
- Support production systems, including monitoring, troubleshooting, and incident resolution.
15 days
- Full lifecycle involvement — Support chatbot features end to end: problem framing, impact sizing, prioritization, system design, launch, and data-driven iteration.
15 days
- Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
5 days
Production Operator (Paya Lebar, Up to $2500, Air-con Environment) #HJY
- (CEI.No: R2197564
8 days
26 days
26 days
- Serve as the primary point of contact for stakeholders regarding project status, issues, and requirements.
5 days
- Operationalise first-line AI governance across the AI lifecycle, including proportionate controls, human oversight, traceability, clear ownership and alignment with enterprise policies and second-line requirements.
5 days
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