jobs in ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD.

ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD. Hiring! Full Time Data Scientist (AI Engineering) in Central Region (Singapore), Earn up to SGD 6,000 - Ricebowl

Data Scientist (AI Engineering)

ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD.

SGD6,000 - SGD6,000 Per Month

Central Region (Singapore)

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Working Location

  • 9 RAFFLES PLACE Central Region (Singapore) Singapore

Job Description

Responsibilities

Infrastructure Management

  • Manage and maintain complex cloud environments for AI workloads.
  • Ensure secure, stable connectivity between internal systems and AI 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 technical due diligence for new AI technologies, frameworks, and vendor solutions.
  • Build proof-of-concepts to validate AI model feasibility and performance.
  • Perform stress-testing of AI vendor APIs, model endpoints, and third-party integrations.
  • Document technical findings and provide recommendations for AI technology adoption.

Pipeline Development & AI Infrastructure

  • Develop and maintain automated data pipelines 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.

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 (AWS, Azure, or GCP).
  • Knowledge of MLOps practices, model deployment, and monitoring.
  • Experience with API development and integration for AI services.
  • Understanding of data pipeline tools and ETL processes for AI applications.

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