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Open nowPosted 242 days ago

AI Engineer / Artificial IntelligenceContract- Banking

Workable (global search)108,016 open roles

Where
Singapore
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Your applicationOpen nowAI Engineer / Artificial IntelligenceContract- BankingWorkable (global search) · Singapore

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 242 days ago

Workable (global search) median: 7 days open

The posting

AI Engineer (Banking/Fintech Exposure Preferred)

Roles & Responsibilities: - Develop intelligent solutions using Agentic frameworks, Large Language Models (LLMs), and Model Context Protocol (MCP) to deliver fast and scalable services across the organisation. - Collaborate closely with software and data science teams to understand requirements and design appropriate solutions. - Deploy and productionise machine learning (ML) and generative AI (GenAI) models on company infrastructure. - Maintain and manage existing AI models, including monitoring for data drifts and hallucinations as part of MLOps responsibilities. - Contribute to and conduct research on AI frameworks and AI-safety evaluations of domain-trained models. - Stay up to date with the latest developments in AI and introduce AI/GenAI solutions to enhance existing processes, serving as an AI subject matter expert.

Requirements: - Bachelor’s degree in computer science, computer engineering, data science, or a similar field, or equivalent experience/certifications. - Minimum of 2 years’ experience in deploying and productionising large language models (LLMs). - Experience with fine-tuning or domain adaptation of LLMs is a plus. - Proficiency in programming languages such as Python. - Experience working with retrieval augmented generation (RAG) processes. - Familiarity with frameworks such as scikit-learn, PyTorch, LangChain, or other machine learning/agent frameworks. - Experience with platforms such as Hugging Face, MLFlow, or similar. - Proficiency with Docker or other containerization platforms. - Experience with shell scripting and working in a Linux environment.

EA Reg. No. 25C2690 | EA License No. R1877766

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