Generative AI Engineer - Production-Ready ML & Agents

QUESS SELECTION & SERVICES PTE. LTD.

Singapore

Vor Ort

SGD 140.000 - 210.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

QUESS SELECTION & SERVICES PTE. LTD. is seeking an experienced AI/ML engineer to design, build, and deploy production-grade AI solutions.

The role focuses on Generative AI, agent frameworks, and RAG systems, with responsibility for data-driven decisions, model performance, and scalable architectures across enterprise systems. You will work on AI applications, data pipelines, and tool-calling frameworks, collaborating with cross-functional teams to deliver measurable business outcomes.

Qualifikationen

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

Aufgaben

  • 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 across multiple business use cases.
  • Develop machine learning models for client propensity prediction, recommendations, classification and ranking.
  • Analyze large structured and unstructured datasets to generate actionable insights.
  • Monitor model performance and continuously improve accuracy and relevance.

Kenntnisse

Python
SQL
REST APIs
Machine Learning Engineering
Data Science
AI Engineering
Advanced Analytics

Tools

Scikit-Learn
XGBoost
LightGBM
TensorFlow
PyTorch
Docker
Kubernetes
OpenShift
Git

Jobbeschreibung

QUESS SELECTION & SERVICES PTE. LTD. is seeking an experienced AI/ML engineer to design, build, and deploy production-grade AI solutions.

The role focuses on Generative AI, agent frameworks, and RAG systems, with responsibility for data-driven decisions, model performance, and scalable architectures across enterprise systems. You will work on AI applications, data pipelines, and tool-calling frameworks, collaborating with cross-functional teams to deliver measurable business outcomes.

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