AI Engineer

WOLA RECRUITMENT PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A tech recruitment agency in Singapore is looking for an experienced professional to develop and deploy machine learning models. Responsibilities include collaborating with engineering teams, monitoring model performance, and overseeing data pipelines. Ideal candidates should have a degree in Computer Science or related fields and experience with Python, TensorFlow, and cloud platforms. This role offers an opportunity to work on innovative AI solutions in a dynamic environment.

Qualifications

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

Responsibilities

• Work with pre-sales and solution architecture to understand client requirements.
• Collaborate with software engineering and DevOps teams to deploy ML models.
• Monitor and maintain models, ensuring performance and robustness.

Skills

Machine Learning

Deep Learning

Cloud Computing

Python

Data Science

Statistical Analysis

Education

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

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

AWS

Job description

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).

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.

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).

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.

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