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Senior AI Engineer

SpringCube

Full time - Senior Associate/ Asst Manager

Cybersecurity

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A Singapore-based global technology, defense, and engineering group with a long history was formally created in December 1997 through the merger of four listed Singaporean companies.

Job Title: Senior AI Engineer

Responsibilities:

  • AI Research & Development:
    • Lead efforts in large language models (LLMs), agentic AI, AI reasoning and planning, and complex state representation.
    • Conduct research intersecting deep learning, analytics, reinforcement learning, complex networks, and graph theory.
    • Develop and implement cutting-edge AI solutions leveraging state-of-the-art models and methodologies.
  • Applied AI Engineering & Prototyping:
    • Rapidly develop and deploy MVPs and AI capabilities with the data science team.
    • Design, build, and optimize AI models for real-world applications.
    • Apply advanced techniques in meta-learning, multi-task learning, in-context learning, and prompt engineering.
  • Model Training, Optimization, & Evaluation:
    • Train, fine-tune, and evaluate models using industry-standard techniques.
    • Optimize AI systems for performance, efficiency, and scalability.
    • Implement rigorous benchmarking and performance monitoring for deployed models.
  • AI Strategy & Leadership:
    • Work directly with the Head of AI to achieve key milestones in the AI strategy.
    • Guide and mentor junior AI engineers and data scientists.
    • Collaborate with cross-functional teams to integrate AI solutions into broader business objectives.

Requirements:

Experience:

  • 8+ years of experience in AI engineering, deep learning, and applied research.
  • Proven track record of leading AI-driven projects and innovation efforts.
  • Experience developing and deploying AI models in production environments.

Skills & Expertise:

  • Deep Learning & AI Frameworks: Proficiency in PyTorch, PyTorch Geometric, and Hugging Face.
  • Graph Theory & Complex Networks: Experience with NetworkX, Graph Theory, and Complex Networks Theory.
  • Neural Network Architectures: Strong knowledge of Transformers, LSTMs, RNNs, GNNs, Heterogeneous Graph Neural Networks (HGNNs).
  • Reinforcement Learning & AI Reasoning: Expertise in reinforcement learning, agentic AI, and AI-driven decision-making.
  • Model Engineering: Knowledge of meta-learning, multi-task learning, in-context learning, prompt engineering, model training, model optimization, and model evaluation.

Business & Strategic Thinking:

  • Ability to bridge the gap between AI research and business needs.
  • Strong problem-solving and critical-thinking skills.

Preferred Qualifications:

  • Experience in designing and deploying AI solutions in cybersecurity, finance, or other high-stakes industries.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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