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Open nowPosted today

AI/ML Engineer

MyCareersFuture90,627 open roles

Pay
SGD 5,000 – SGD 6,300 a month
Where
Singapore
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Your applicationOpen nowAI/ML EngineerMyCareersFuture · 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

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The clock on this job

Early applications get read.

8.5% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 7 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.5%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted today

MyCareersFuture median: 7 days open

The posting

We are seeking an AI/ML Engineer to design, develop, and deliver AI-powered enterprise solutions. The role covers Agentic AI platforms, Retrieval-Augmented Generation (RAG), recommendation engines, predictive analytics, workflow automation, and enterprise knowledge management. The successful candidate will combine software engineering, machine learning, and Generative AI expertise to build reliable, production-ready services integrated with enterprise systems.

Key Responsibilities:

Generative AI & Agent Development:

  • Develop AI agents using modern Agentic AI frameworks and Dify.
  • Build and optimise RAG solutions, including document ingestion, retrieval, vector search, and response generation.
  • Design agent orchestration and tool-calling workflows to support enterprise use cases.
  • Implement prompt engineering, agent memory, reflection, and evaluation capabilities.
  • Develop AI-powered workflow automation and enterprise knowledge management solutions.

Machine Learning & Predictive Analytics:

  • Develop machine learning models for recommendation systems, classification, ranking, and predictive analytics.
  • Prepare and analyse data, engineer features, and evaluate model performance.
  • Train and optimise models using Scikit-learn, XGBoost or LightGBM, and TensorFlow or PyTorch.

Engineering, Integration & Deployment:

  • Build production-ready AI services and REST APIs using Python.
  • Integrate AI solutions with enterprise data sources, repositories, and applications.
  • Containerise and deploy solutions using Docker, Kubernetes, and OpenShift Container Platform (OCP).
  • Implement and maintain CI/CD pipelines and manage source code using Git.

Monitoring & Evaluation:

  • Implement monitoring, observability, and model evaluation frameworks.
  • Assess retrieval quality, response accuracy, model performance, and service reliability.
  • Troubleshoot issues and improve solution performance, scalability, and maintainability.
  • Maintain technical documentation covering architecture, integrations, deployment, and operations.

Mandatory Requirements:

Programming & Integration:

  • Hands-on proficiency in Python and SQL.
  • Experience developing and integrating REST APIs.

Machine Learning:

  • Practical experience with Scikit-learn.
  • Experience with XGBoost or LightGBM.
  • Experience with TensorFlow or PyTorch.
  • Ability to develop and evaluate models for recommendation, classification, ranking, or predictive analytics.

Generative AI:

  • Hands-on experience building RAG solutions and implementing vector search.
  • Experience developing LLM applications.
  • Practical experience using Dify.
  • Experience developing agents using Agentic AI frameworks.
  • Understanding of agent orchestration, tool calling, prompt engineering, memory, reflection, and evaluation.

Cloud & DevOps:

  • Hands-on experience with OpenShift Container Platform (OCP), Docker, and Kubernetes.
  • Experience implementing or maintaining CI/CD pipelines.
  • Proficiency in Git and collaborative development workflows.

To apply,simply click the "Apply" button or send your updated profile to [email protected]

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/to stay informed about new opportunities and events.

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