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IT Manager (Data Science)

$ 6,500 - $ 8,000 / month

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Our client is a leading mobile repair and retail company in Singapore. They are looking for a IT Manager to assist their IT team for the next phrase of their business. They are located at East of Singapore– easily accessible. The IT Manager is responsible for:

Duties

  • Collaborate with data scientists to understand their data, processing, and infrastructure needs to support AI and machine learning initiatives effectively.
  • Ensure IT infrastructure is capable of supporting AI applications by providing high-performance computing resources and cloud-based platforms.
  • Facilitate data accessibility across various sources, such as CRM, ERP, and e-commerce systems, while ensuring security and compliance.
  • Work with data scientists to operationalize machine learning models by setting up deployment, monitoring, and continuous improvement frameworks.
  • Evaluate and implement AI/ML platforms, tools, and technologies to enhance data science workflows, including model training and deployment.
  • Oversee data security protocols to protect sensitive information and ensure compliance with data privacy regulations.
  • Support data visualization initiatives and provide technical guidance to data science and BI teams for large-scale data analysis.
  • Manage IT systems for optimal performance, ensuring scalability as data volumes grow and applications become more data-intensive.

Requirements

  • Min Bachelor’s degree in Information Technology, Data Science, Computer Science, or a related field; master’s degree is a plus.
  • Min 5-7 years of experience in IT management, with a strong understanding of data science methodologies, machine learning, and AI tools.
  • Proficiency in data science platforms and tools (e.g., TensorFlow, PyTorch, Jupyter notebooks) and cloud services supporting AI (e.g., AWS SageMaker, Google AI Platform).
  • Strong knowledge of data governance, data privacy regulations and compliance best practices.
  • Experience in overseeing model deployment processes, including MLOps and AI lifecycle management.
  • Familiarity with BI and data visualization tools (e.g., Tableau, Power BI) and the ability to support data storytelling initiatives.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

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