SalaryPeak

AI Engineer

TOTAL EBIZ SOLUTIONS PTE. LTD.
Singapore 5+ years Posted Feb 11, 2026

Salary Range

SGD 90,000 - SGD 96,000 /year

SGD 7,500 - SGD 8,000/month

Skills Required

TensorFlowMachine LearningScalabilityArtificial IntelligenceSoftware EngineeringInformation TechnologyPyTorchPythonDockerCloud

Job Description

About the role:

We are looking for a highly skilled AI Engineer to design, develop, and deploy scalable AI/ML solutions that solve real-world business problems. This role is ideal for professionals who have hands-on experience in building production-grade machine learning and AI systems and enjoy working across data, engineering, and business teams.

Key Responsibilities:

  • Design, develop, and deploy AI/ML models for business use cases such as prediction, classification, recommendation, NLP, or computer vision

  • Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, evaluation, and deployment

  • Work closely with product managers, data engineers, and stakeholders to translate business requirements into AI solutions

  • Optimize and fine-tune models for performance, scalability, and reliability

  • Deploy models using cloud platforms and MLOps best practices (CI/CD, monitoring, versioning)

  • Conduct model validation, performance tracking, and continuous improvement

  • Mentor junior engineers and contribute to best practices, code reviews, and technical documentation

  • Stay up to date with the latest AI/ML research and industry trends

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field

  • 5+ years of hands-on experience in AI/ML model development and deployment

  • Strong programming skills in Python (mandatory); experience with Java/Scala is a plus

  • Solid understanding of machine learning algorithms, deep learning, and statistical modeling

  • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn

  • Hands-on experience in NLP, Computer Vision, or Generative AI (LLMs)

  • Strong knowledge of data handling using SQL, Pandas, NumPy

  • Experience with cloud platforms (AWS, Azure, or GCP)

  • Familiarity with containerization and deployment tools (Docker, Kubernetes)

  • Experience with MLOps tools and practices is a strong plus

  • Strong problem-solving, communication, and collaboration skills

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