AI Engineer

WOLA Recruitment; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A specialized recruitment agency is seeking an experienced AI/ML professional in Singapore. The candidate will design, develop, and deploy ML models based on specific client needs. You should be proficient in Python and various ML frameworks, with at least 3 years of related experience. This role involves collaboration with software engineering teams to integrate solutions into existing systems.

Qualifications

• 3+ years of experience developing, deploying, and maintaining ML/AI models.
• Proficiency in Python and ML frameworks.
• Experience with cloud platforms and containerization.

Responsibilities

• Work with pre-sales and solution architecture on client requirements.
• Develop and experiment with ML models for diverse client needs.
• Collaborate with engineering teams to integrate models into production.

Skills

Python

Machine Learning frameworks

Data Structures

Algorithms

Statistical Methods

Education

Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, Statistics

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

Docker

Kubernetes

Job description

Job Description:

1. Solution Design & Advisory
   Work with pre-sales / solution architecture to understand client requirements; craft AI/ML-based proposals, proofs of concept (POCs) or prototypes.
   Assess feasibility: data availability, infrastructure, integration constraints, scalability, cost, security, and compliance (e.g. data privacy).
2. Model Development & Experimentation
   Identify appropriate modelling approaches (supervised, unsupervised, reinforcement, deep learning, etc.) for client problems (e.g. demand forecasting, anomaly detection, predictive maintenance, automation).
   Experiment with datasets, perform feature engineering, data cleaning, selection, and preprocessing.
   Use state-of-the-art ML / DL frameworks (TensorFlow, PyTorch, scikit‑learn) to build models; evaluate via cross‑validation, A/B testing where relevant.
3. Deployment & Integration
   Collaborate with software engineering / DevOps / cloud teams to productionize ML models: containerization (Docker), orchestration (Kubernetes), microservices, APIs.
   Ensure models are integrated with clients’ or internal systems: data pipelines, batch/real‑time inference, ingestion from various sources (IoT, logs, transactional systems).
4. Scaling & Performance
   Monitor, maintain, retrain models as needed. Track performance metrics, drift, bias.
   Optimize models for latency, throughput, resource consumption (compute, memory).
   Ensure robustness, fault tolerance, and resilience in production environments.
5. Data Infrastructure & Pipelines
   Work with data engineers to build and maintain data pipelines, ETL/ELT processes, streaming pipelines when needed.
   Manage data storage, versioning, access, and security; ensure compliance with data governance rules.

Required Skills & Experience

• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, Statistics, or equivalent. PhD is a plus for specialized roles.
• 3+ years of hands‑on experience developing, deploying, and maintaining ML/AI models (or more depending on seniority).
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit‑learn).
• Experience with cloud platforms (AWS / GCP / Azure), containerization (Docker), orchestration (Kubernetes), serverless or microservices patterns.
• Good understanding of data structures, algorithms, probabilities/statistics, numerical methods.

WOLA Recruitment Pte Ltd

EA License No: 23C1703

EA Personnel: Thea Cheah

EA Personnel Reg No: R23118878