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Open nowPosted today

ML/AI Engineer

EXCELTECH COMPUTERS PTE. LTD.

Pay
SGD 6,000 – SGD 9,000 a month
Where
East, Singapore
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Your applicationOpen nowML/AI EngineerEXCELTECH COMPUTERS PTE. LTD. · East, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EXCELTECH COMPUTERS PTE. LTD.'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted today

The posting

ML/AI Engineer Work location- Paya Lebar

The ML/AI Engineer is embedded within Data Analytics and AI Division (DSAD), working as part of the division's Fraud Analytics Model (FAM) team.

Experience: 3–5 years of hands-on experience building and deploying ML/AI

applications. This must include at least one LLM-enabled system delivered beyond

prototype into operational use.

B. Technical & Professional Competencies

• Strong Python software engineering capability, including API development,

testing, version control and modular system design.

• Hands-on experience building and deploying ML/AI applications, including at

least one LLM-enabled or agentic AI solution beyond proof-of-concept stage.

• Experience with LLM applications, retrieval, tool use, workflow orchestration or

multi-agent frameworks such as LangGraph, CrewAI or equivalent.

• Experience integrating AI/ML solutions with enterprise data platforms, databases,

APIs or cloud services.

• Ability to design and implement systematic evaluation frameworks for AI systems,

including testing, benchmarking, observability and reproducibility.

• Working knowledge of AI governance, security and Responsible AI practices,

including human-in-the-loop controls, access management, auditability and

safeguards against misuse.

Preferred (Advantageous)

• Experience with AWS services such as Bedrock, Redshift, Glue, S3, Lambda or

related cloud-native services.

• Experience with PySpark, Databricks or large-scale data processing and feature

engineering pipelines.

• Experience with CI/CD, containerisation, MLOps or model deployment tooling

(e.g. Docker, MLflow, GitHub Actions, Jenkins).

Posting text belongs to the employer. Removal requests: contact us.

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