Junior AI / ML Engineer #10481

Job Description

• Industry/ Organization Type: Marine Equipment Wholesaler
• Position Title: Junior AI / ML Engineer
• Working Location: Tuas West
• Working Hours: 5 days (Mon – Fri, 9:00 AM – 5:30 PM (One Sat per month, 9:00 AM – 12:00 PM))
• Salary Package: Basic Salary + Bonus
• Duration: Permanent Role

Key Responsibilities

• Assist in developing and maintaining anomaly detection models and applications for shipboard machinery.
• Clean, analyse, and prepare time-series sensor data from vessel equipment, including feature engineering.
• Support model training, performance evaluation, alarm threshold adjustments, and documentation of results.
• Support the enterprise AI diagnostic assistant, including document processing, embedding generation, and retrieval testing.
• Assist in deploying and managing the in-house Large Language Model (LLM) platform, including model serving and GPU monitoring.
• Develop and maintain web applications and APIs using Python, JavaScript, and SQL to deliver AI results to users.
• Prepare technical documentation and test reports for technical and non-technical stakeholders.
• Perform other ad-hoc duties as assigned.

APPLY NOW!!!

• Degree in Computer Science, Data Science, IT, or a related field.
• Strong Python skills with working knowledge of SQL and JavaScript for web and API development.
• Understanding of machine learning concepts, including model training, evaluation metrics, and validation.
• Hands-on experience with pandas, NumPy, and scikit-learn.
• Familiarity with PyTorch or TensorFlow through academic projects, internships, or personal projects.
• Able to use AI coding tools such as Claude Code, Codex, or Cursor, with proper review and testing of generated code.
• Familiar with Linux and Git.
• Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or vector databases is an advantage.
• Candidates without prior working experience are welcome to apply; training will be provided.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #10481 on the email subject.

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