Artificial Intelligence Engineer - Singapore - Nicoll Curtin

    Nicoll Curtin
    Nicoll Curtin Singapore

    7 hours ago

    $70,000 - $130,000 (SGD) per year * Technology / Internet
    Description

    We are seeking an AI Scientist to drive innovation in next-Generation AI systems, with a focus on large language models (LLMs), generative AI, agentic AI, and speech/audio technologies.

    This role operates within a dedicated prototyping environment, translating emerging AI concepts into working prototypes across AI, communications, and trust technologies.

    Key Responsibilities

    • Lead end-to-end AI prototyping from problem definition through Proof-of-Concept delivery.
    • Develop and fine-tune LLMs, multimodal, or speech models for real-world applications.
    • Design and implement speech/audio AI systems (e.g., ASR, TTS, speech enhancement, multimodal speech-text models).
    • Evaluate model performance, scalability, and deployment feasibility.
    • Document technical findings and contribute to internal knowledge-sharing and innovation initiatives.

    Experience Requirements

    We are seeking candidates with either:

    • PhD in AI, Computer Science, Machine Learning, Speech Processing, Signal Processing, or related field with minimum 3 years of applied industry experience,

    OR

    • Bachelor's or Master's degree in a relevant field with 6–8 years of industry experience in AI/ML engineering or advanced prototyping environments.

    Candidates should have experience in at least two of the following domains:

    AI Product Engineering / Prototyping

    • Building and fine-tuning ML/LLM models using modern frameworks (e.g., PyTorch, TensorFlow).
    • Deploying AI workflows into production or near-production systems.
    • Translating real-world challenges into AI-driven solutions.

    Speech / Audio AI

    • Experience with ASR, TTS, speaker modelling, or speech enhancement.
    • Familiarity with transformer-based speech architectures and audio signal processing.

    Data Engineering

    • Designing and managing data pipelines across structured and unstructured data.
    • Handling large-scale datasets for AI training and optimisation.

    AI Ethics & Governance

    • Applying responsible AI principles and governance considerations in development.

    How to Apply

    If you are passionate about building and experimenting with advanced AI systems and want to work at the forefront of LLM, generative, and speech technologies, we welcome your application.

    Please submit your CV outlining your relevant experience in prototyping, model development, and applied AI research.

    * This salary range is an estimation made by beBee
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