jobs in OMIO TRAVEL SINGAPORE PTE. LTD.

全职 Senior AI Engineer 工作, 薪水 up to SGD 9,300, OMIO TRAVEL SINGAPORE PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

Senior AI Engineer

OMIO TRAVEL SINGAPORE PTE. LTD.

Central Region (Singapore)

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工作地点

  • 1 SCOTTS ROAD Central Region (Singapore) Singapore

职位描述

岗位职责

Your role

  • Develop AI solutions leveraging LLMs to improve productivity and deliver strong business impact.

  • Lead the end-to-end development lifecycle from ideation to deployment of AI-powered solutions across various domains.

  • Build scalable AI systems that support Omio’s global expansion goals.

  • Act as an evangelist for AI adoption by demonstrating clear value to stakeholders.

  • Collaborate with Business, Product, and Engineering teams to integrate AI into workflows and drive adoption.

  • Present models, results, and systems to both technical and non-technical audiences, including C-level stakeholders.

Qualifications

  • Minimum 6+ years of experience in developing complex models and algorithms.

  • Proven track record in designing and deploying production-grade AI solutions.

  • Strong communication and presentation skills, with the ability to influence non-technical stakeholders.

  • Self-motivated, independent contributor capable of driving initiatives with minimal guidance.

  • Prior experience deploying scalable AI and LLM-based solutions for real-time, high-performance systems is highly desirable.
     

Technical Skills and Knowledge

  • Expertise in building AI applications using large language models such as OpenAI, Claude, Gemini, LLaMA.

  • Experience with LLM orchestration frameworks like LangChain, LangGraph, vLLM, LMDeploy.

  • Strong programming skills in Java, Python, and SQL.

  • Familiarity with data preprocessing, feature engineering, model evaluation, MLOps, and LLMOps best practices.

  • Ability to construct Retrieval-Augmented Generation (RAG) systems for advanced AI workflows.

  • Proficiency in vector databases such as FAISS, Weaviate, Pinecone, Milvus.

  • Solid grasp of prompt engineering techniques to optimize LLM output.

  • Hands-on experience with cloud platforms like AWS, Google Cloud, or Azure.

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