AI / Machine Learning Engineer (IT) (PyTorch /Tensorflow/Training provided) DP24

TRUST RECRUIT PTE. LTD.; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

TRUST RECRUIT PTE. LTD. is hiring a data/ML engineer to develop anomaly detection models for shipboard machinery and to clean and analyze time-series sensor data.

You will help train models, tune alarms, and document results for review. You will also support the AI diagnostic assistant and deploy the in-house LLM platform, including API development. You will build web apps and APIs in Python/JavaScript, prepare technical reports, and collaborate with stakeholders across technical and

Qualifications

• Degree in Computer Science, Data Science, IT, or a related field.
• Strong Python skills; working knowledge of SQL and JavaScript for 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 projects.
• Able to use AI coding assistants effectively to speed up development and test code.
• Comfortable with Linux and Git.
• Exposure to LLMs, RAG or vector databases is an advantage.

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.

Skills

Python

SQL

JavaScript

Linux

Git

Pandas

NumPy

scikit-learn

PyTorch or TensorFlow

LLMs / RAG / vector databases

Education

Bachelor's degree in Computer Science / Data Science / IT or related field

Tools

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Python environments

Job description

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 otherduties 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.

• 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.

• Comfortable with Linux and Git.

• Exposure to LLMs, RAG or vector databases is an advantage.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.