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Open nowPosted today

AI Engineer - Contract

MyCareersFuture99,426 open roles

Pay
SGD 5,000 – SGD 7,000 a month
Where
Singapore
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Your applicationOpen nowAI Engineer - ContractMyCareersFuture · 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 MyCareersFuture'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.

8.2% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted today

MyCareersFuture median: 4 days open

The posting

Job Title:

AI/ML Engineer (Agentic AI & Data Science) We are seeking an AI/ML Engineer with strong Data Science and GenerativeAI capabilities to design and deliver next-generation AI solutions acrossGlobal Financial Markets.

The role will focus on developing Agentic AI platforms, recommendation engines, retrieval systems, and predictive models supporting initiatives suchas market intelligence, product recommendations, client engagement, workflow automation, and knowledge management.

You will work closely with business stakeholders, product owners, datascientists, and software engineers to translate business challenges into scalable AI-powered solutions.

Generative AI & Agentic AI

  • Design and develop AI agents using modern agent frameworks.
  • Build and optimize RAG (Retrieval-Augmented Generation) solutions.
  • Develop agent orchestration workflows and tool-calling frameworks.
  • Implement prompt engineering, evaluation, reflection, and memory capabilities.
  • Build reusable AI components that can be leveraged across multiple business use cases.

Machine Learning & Data Science

  • Develop machine learning models for:
  • Client propensity prediction Classification and ranking Behavioral analytics Next-best-action recommendations
  • Perform data exploration, feature engineering, and model evaluation.
  • Analyze large structured and unstructured datasets to generate actionable insights.
  • Monitor model performance and continuously improve accuracy and relevance.

AI Application Development

  • Build production-ready AI services and APIs.
  • Integrate AI solutions with enterprise systems and data sources.
  • Implement monitoring, observability, and evaluation frameworks.
  • OptimizeAI solutions for performance, scalability, and cost efficiency

Required Qualifications

Experience

  • Experience in:
  • Machine Learning Engineering Data Science AI Engineering Advanced Analytics
  • Hands-on experience building and deploying ML or AI solutions into production.

Technical Skills

Programming

  • Python (mandatory)
  • SQL
  • REST APIs

Machine Learning

Experience with:

  • Scikit-Learn
  • XGBoost /LightGBM
  • TensorFlowor PyTorch

Generative AI – (MANDATORY)

Experience in all the following areas:

  • RAG
  • Vector Search
  • LLM Applications
  • Dify
  • Agentic AI frameworks
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Why it works

3×

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