AI Solutions Architect - RAG, LLM Apps & MLOps

Recruit Express Pte Ltd

Singapore

On-site

SGD 100,000 - 180,000

Full time

4 days ago
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Job summary

Recruit Express Pte Ltd is seeking a hands-on AI/ML Engineer to translate business requirements into scalable AI architectures and deploy AI services in enterprise environments. You will build RAG components, vector search pipelines and LLM-based workflows, collaborating across product, data, engineering and security teams.

The role requires strong Python/SQL, experience with ML frameworks (Scikit-learn, XGBoost, TensorFlow/PyTorch) and container-based deployments (Docker/Kubernetes/OpenShift).

Qualifications

  • Strong Python and SQL, with the ability to implement and troubleshoot solutions directly.
  • Practical experience with Scikit-learn, XGBoost or LightGBM, and TensorFlow or PyTorch.
  • Hands-on development and deployment of predictive ML models, beyond integrating pre-trained model APIs.
  • Understanding of classification and regression metrics, class imbalance, overfitting, cross-validation and appropriate time-based validation.
  • Experience with data pipelines, transformation, feature engineering and data quality controls.
  • Experience with Docker, Kubernetes, OpenShift/OCP, Git and CI/CD pipelines.
  • Experience evaluating retrieval quality and LLM outputs, including groundedness, relevance and failure cases.
  • Ability to explain personal contributions, technical trade-offs, evaluation results and production issues clearly.

Responsibilities

  • Translate business requirements into AI architectures, implementation plans and measurable evaluation criteria.
  • Develop reusable agents and RAG components for market intelligence, client engagement, workflow automation and enterprise knowledge management.
  • Build predictive models for client propensity, classification, ranking, behavioural analytics, recommendations and next-best-action use cases.
  • Perform exploratory data analysis, feature engineering, model training, hyperparameter tuning and evaluation.
  • Establish suitable baselines and validation strategies, prevent data leakage and assess model generalisation.
  • Build Python-based AI services and REST APIs, integrating structured and unstructured enterprise data.
  • Deploy and support applications using Docker, Kubernetes and Red Hat OpenShift/OCP.
  • Implement CI/CD, automated testing, model/application monitoring and operational documentation.
  • Investigate production failures across retrieval, agent execution, model inference, APIs and infrastructure.
  • Optimise accuracy, relevance, latency, reliability and operating cost.
  • Collaborate with business, product, data, engineering, infrastructure and security teams.
  • Any other ad-hoc duties as assigned by supervisors

Skills

Python
SQL
Machine learning
Data analysis

Tools

Scikit-learn
XGBoost
LightGBM
TensorFlow
PyTorch
Docker
Kubernetes
OpenShift/OCP
Git
CI/CD pipelines
LangGraph
LangChain
AutoGen
CrewAI
Semantic Kernel

Job description

Recruit Express Pte Ltd is seeking a hands-on AI/ML Engineer to translate business requirements into scalable AI architectures and deploy AI services in enterprise environments. You will build RAG components, vector search pipelines and LLM-based workflows, collaborating across product, data, engineering and security teams.

The role requires strong Python/SQL, experience with ML frameworks (Scikit-learn, XGBoost, TensorFlow/PyTorch) and container-based deployments (Docker/Kubernetes/OpenShift).

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