✅ Required Qualifications

• 8–15+ years of experience in:
  • Data engineering, AI/ML, or cloud engineering
  • Enterprise or financial services environments
• Strong hands-on experience in:
  • AWS data and AI technologies
  • Designing and building cloud-based solutions
• Proven experience in:
  • Client-facing presales / solutioning roles
  • Engaging clients to shape and win deals
• Strong hands-on programming skills in Python, with ability to build:
  • Data pipelines
  • APIs and cloud-native applications
  • AI/ML and GenAI prototypes
• Demonstrated ability to:
  • Build live demos / PoCs under time pressure
  • Translate ideas into working solutions quickly

✅ Preferred Qualifications

• Experience in:
  • BFSI (banking, insurance, financial services)
  • AI use cases (fraud, risk, personalization, customer 360)
• Hands-on experience with:
  • GenAI frameworks (RAG, LangChain, orchestration tools)
  • Streaming data / real-time processing
• AWS Certifications:
  • Data Engineer / Machine Learning / Solutions Architect

✅ Key Success Profile

• Forward Deployed Engineer mindset — thrives in client-facing, fast-moving environments
• Strong builder mentality — able to code, prototype, and demo live
• Strong presales instinct — can originate and shape deals
• Able to bridge business needs with technical solutions
• Comfortable operating in ambiguity and rapid iteration cycles

Singapore

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