M03 - Data Scientist (AI) at FPT ASIA PACIFIC PTE. LTD.
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M03 - Data Scientist (AI)
FPT ASIA PACIFIC PTE. LTD.
🇸🇬 Singapore8h ago
S$84,000 — S$1,08,000/year
≈ ₹53L — ₹68L per year
API DevelopmentMachine LearningTechnical SpecialistsCloud AdministrationKubernetesDue DiligenceETL ToolsArtificial IntelligenceETLModel Validationimplementing data protectionPythonCloud Computing IaaSData Scienceliaise with government
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Manage and maintain complex cloud environments within Government Commercial Cloud (GCC) infrastructure for AI workloads.
Ensure secure and stable connectivity between internal government systems and AI platforms/tools.
Perform system maintenance, monitoring, and optimization to ensure reliable AI model performance.
Implement and maintain security protocols for AI data handling and model deployment.
Conduct technical due diligence and evaluation of AI technologies, frameworks, and vendor solutions.
Build proof-of-concepts (POCs) to validate AI model feasibility and performance before 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.
Develop and maintain automated data pipelines for AI model training and inference.
Write robust and scalable code to support reliable data movement between source systems and AI models.
Implement MLOps practices for AI model deployment, monitoring, and maintenance.
Build and maintain AI model serving infrastructure and API endpoints.
Requirements
Bachelor's degree in Computer Science, Data Science, AI/Machine Learning, or a related technical field.
Minimum 3 years of experience in AI/ML engineering or related technical roles.
Strong programming skills in Python with hands-on experience in AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn.
Experience managing cloud infrastructure for AI workloads on AWS, Azure, or GCP.
Knowledge of MLOps practices, model deployment, and monitoring.
Experience with API development and integration, especially for AI services.
Familiarity with data pipeline tools and ETL processes for AI applications.
Experience with containerisation technologies such as Docker and Kubernetes is an advantage.
Familiarity with Singapore Government technology standards, AI governance frameworks, or Government Commercial Cloud (GCC) environments is an advantage.
Knowledge of responsible AI practices, bias detection, and AI model interpretability/explainability techniques is preferred.
Experience implementing AI solutions in government or public sector environments is preferred.
Strong analytical, problem-solving, and communication skills.
Ability to manage multiple AI projects and experiments simultaneously.
Proactive mindset with a strong commitment to data security and AI best practices.