jobs in Sandhurst Advisory

Full Time Artificial Intelligence Engineer Jobs, in Sandhurst Advisory Selangor - Maukerja

Artificial Intelligence Engineer

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Working Location

  • Subang Jaya Selangor Malaysia

Job Description

Responsibilities

Key responsibilities


  • Data services & integrations: Design, implement, and maintain secure data ingestion and transformation services that connect to external monitoring and enterprise systems via well-defined APIs.
  • Analytics features: Implement modular analytics and machine-learning components for issue detection, performance assessment, and optimization; version and document these components for reuse.
  • Outputs & interfaces: Define consistent output contracts (metrics, recommendations, reporting artefacts) to ensure downstream users and systems can consume results reliably.
  • Reliability & operations: Ensure services are observable, well-tested, and resilient; contribute to runbooks and operational dashboards as the platform scales.
  • Collaboration & documentation: Translate domain requirements into technical designs; participate in design reviews; produce clear documentation for architecture, workflows, and interfaces.
  • Security & governance: Apply appropriate data governance practices for regulated environments, including access control, auditability, and data quality.


Candidate profile


Essential


  • Strong software engineering background (Python preferred).
  • Hands-on experience building data processing systems (batch and/or streaming) and integrating with external systems via REST/GraphQL.
  • Practical familiarity with ML libraries and time-series or event data.
  • Proficiency with testing, CI/CD, containers, and a major cloud platform.
  • Clear communication and the ability to work effectively with product, data, and domain specialists.
  • For Malaysian citizen only to cater the Malaysian laws, regulations & clients.


Advantageous


  • Experience in energy, sustainability, industrial operations, or other asset-intensive domains.
  • Exposure to MLOps (model training pipelines, monitoring, lifecycle management).
  • Awareness of data privacy and reporting considerations relevant to ESG/carbon disclosures.

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