AI/ML Engineer - JT

MCI CAREER SERVICES PTE. LTD.; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

MCI CAREER SERVICES PTE. LTD. is seeking a data science/ML engineer to develop anomaly detection models and shipboard data solutions in Singapore. You will cleanse data, engineer features, and analyze time-series sensor data while supporting model training and evaluation.

You will help deploy and operate the in-house LLM platform, build web apps and APIs, and prepare documentation for stakeholders. Fresh graduates are welcome, with a strong Python/ML foundation and good teamwork.

Qualifications

• Degree in Computer Science, Data Science, IT, or related field (fresh graduates preferred).
• Proficient in Python; working knowledge of SQL and JavaScript for web/API work.
• Understanding of ML fundamentals: training, metrics, validation.
• Hands-on experience with pandas, NumPy and scikit-learn.
• Familiarity with PyTorch or TensorFlow through coursework or projects.
• Able to use AI coding assistants to speed up development while reviewing generated code.
• Comfortable with Linux and Git.
• Good communication and interpersonal skills.
• Available to start immediately / on short notice.

Responsibilities

• Develop and maintain anomaly detection models and apps for shipboard machinery.
• Perform data cleaning, feature engineering and analysis on time-series sensor data.
• Support model training, evaluation and alarm threshold tuning, document results.
• Support 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 apps and APIs (Python, JavaScript, SQL) to deliver AI outputs.
• 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

Pandas

NumPy

scikit-learn

PyTorch or TensorFlow

Linux

Git

Communication

Education

Degree in CS/DS/IT

Job description

Job Scopes:

• 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.

Job Requirements:

• Degree in Computer Science, Data Science, IT, or a related field. (Fresh graduates preferred)
• 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.
• Good communication and interpersonal skills.
• Available to start immediately / on short notice.

We regret to inform that only shortlisted candidates would be notified.