- Location: Tuas West Rd MRT
Key Responsibilities:
- Assist in developing and maintaining anomaly detection models and applications for shipboard machinery.
- Perform data cleaning, feature engineering and analysis on time-series sensor data from vessel equipment.
- Support model training, evaluation and alarm threshold tuning, and document results for review.
- Support the enterprise AI diagnostic assistant: document ingestion, embedding generation and retrieval testing.
- Assist in deploying and operating the in-house LLM platform, including model serving and GPU monitoring.
- Build and maintain web applications and APIs (Python, JavaScript, SQL) to deliver AI outputs to users.
- Prepare technical documentation and test reports for technical and non-technical stakeholders.
- Perform other duties and ad-hoc assignments as directed by the team lead and department manager.
Requirements:
- Degree in Computer Science, Data Science, IT, or a related field. (No experience is welcome to apply)
- Strong Python skills; working knowledge of SQL and JavaScript is required for the web and API work.
- Understanding of machine learning fundamentals: model training, evaluation metrics and validation.
- Hands-on experience with pandas, NumPy and scikit-learn.
- Familiarity with PyTorch or TensorFlow through coursework, FYP, internships or personal projects.
- Able to use AI coding assistants (e.g. Claude Code, Codex, Cursor) effectively to speed up development, and to review and test the generated code rather than accept it blindly.
- Comfortable with Linux and Git.
- Exposure to LLMs, RAG or vector databases is an advantage; training will be provided.
HOW TO APPLY:
Interested applicants, kindly click on “APPLY NOW” or send your resume in MS WORD format to *************(at)*************
We regret only shortlisted candidates will be notified.
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Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Wong Ying Huan (Hestia)
EA Personnel Reg No: R24122431