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Analytics Manager

SK, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

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Job details

Job type: Full-time
Closing date: Sep 20, 2026
Experience: 3+ years of experience in AI/ML engineering or related technical roles
Posting language: English
Posted: Apr 7, 2026

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Original job description

Archived listing. The details below describe a past opening.

[What the role is]

AI Engineer

AI Engineer focusing on generalist technical execution and infrastructure that enables our AI capabilities. This role will handle the foundational engineering work that allows our domain experts to concentrate on business-critical AI solutions and strategic initiatives.

[What you will be working on]

Role Overview: We are seeking an AI Engineer to join our Digital, AI and Transformation Department, focusing on generalist technical execution and infrastructure that enables our AI capabilities. This role will handle the foundational engineering work that allows our domain experts to concentrate on business-critical AI solutions and strategic initiatives.

Key Responsibilities

Infrastructure & Environment Management

Manage and maintain complex cloud environments within Government Commercial Cloud (GCC) infrastructure for AI workloads
Ensure secure, stable connectivity between internal government systems and AI tools and platforms
Perform ongoing system maintenance and monitoring to guarantee optimal AI model performance
Implement and maintain security protocols for AI data handling and model deployment

Rapid Prototyping & Technical Validation

Conduct comprehensive technical due diligence for new AI technologies, frameworks, and vendor solutions
Build proof-of-concepts to validate AI model feasibility and performance before full deployment
Perform stress-testing of AI vendor APIs, model endpoints, and third-party AI integrations
Document technical findings and provide recommendations for AI technology adoption

Pipeline Development & AI Infrastructure

Develop and maintain automated data pipelines specifically designed for AI model training and inference
Write robust code to ensure reliable data movement from source systems to AI models
Implement MLOps practices for model deployment, monitoring, and maintenance
Build and maintain AI model serving infrastructure and API endpoints

[What we are looking for]

Must Have Requirements

Bachelor's degree in Computer Science, Data Science, AI/Machine Learning, or related technical field
3+ years of experience in AI/ML engineering or related technical roles
Strong programming skills in Python, with experience in AI/ML libraries (TensorFlow, PyTorch, scikit-learn)
Experience with cloud infrastructure management for AI workloads (AWS, Azure, or GCP)
Knowledge of MLOps practices, model deployment, and monitoring
Experience with API development and integration, particularly for AI services
Understanding of data pipeline tools and ETL processes for AI applications

Good To Have (Existing Hire Considerations)

Experience with Singapore Government technology standards and AI governance frameworks
Familiarity with Government Commercial Cloud (GCC) environments and AI service offerings
Knowledge of responsible AI practices and bias detection in government contexts
Understanding of public sector data governance and privacy requirements for AI
Previous experience implementing AI solutions in government or public sector environments
Experience with natural language processing, computer vision, or other domain-specific AI applications
Knowledge of AI model interpretability and explainability techniques
Familiarity with containerisation technologies (Docker, Kubernetes) for AI model deployment

Personal Attributes

Strong analytical and problem-solving skills with attention to technical detail
Excellent communication skills for documenting AI solutions and presenting to stakeholders
Ability to manage multiple AI projects and experiments simultaneously
Proactive approach to staying current with AI technology trends and best practices
Commitment to maintaining data security standards

This role offers the opportunity to build critical AI infrastructure that directly supports government digital transformation initiatives, working alongside domain experts to deliver innovative AI solutions for enhanced public service delivery.

About employer

More about this job

Responsibilities

The role focuses on building and maintaining the foundational AI infrastructure and cloud environments within the Government Commercial Cloud. Key duties include developing automated data pipelines, implementing MLOps practices, and conducting technical validation for new AI technologies.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 3 years of experience in AI/ML engineering. Proficiency in Python, AI libraries, and cloud infrastructure management is required.

Skills

Python
TensorFlow
PyTorch
Scikit-learn
Cloud Infrastructure
MLOps
API Development
ETL Processes
Data Pipelines
Docker
Kubernetes
Government Commercial Cloud (GCC)
AI Governance
Natural Language Processing
Computer Vision
Technical Due Diligence

Visa sponsorship

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Keywords

AI Engineer
Machine Learning
Python
TensorFlow
PyTorch
Scikit-learn
AWS
Azure
GCP
MLOps
API
ETL
Government Commercial Cloud
GCC
Docker
Kubernetes
Natural Language Processing
Computer Vision
Data Pipelines
AI Governance
Responsible AI
Public Sector
Digital Transformation
Model Deployment
Model Monitoring
Technical Due Diligence
Proof-of-Concept
Infrastructure Management
Data Security

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