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Company Overview
This is a leading advanced integrated security organisation that develops and delivers multi-disciplinary security and integrated services. By empowering their people, their goal is to enable their communities to stay safe and thriving. They offer a broad range of opportunities and career pathways for their people to grow and explore their potential. They believe that people, equipped with innovative thinking and technological capabilities will make the world safer, smarter and better. Life at this company means no two days look alike, filled with chances to collaborate and bring new initiatives to life. It’s a close-knit team that looks out for each other, works hard, and encourages growth – a perfect place for career development.
AI Ops Manager
Job Description
Drive the seamless deployment, optimisation, and operationalisation of AI-powered applications.
Support development teams in productionising and productising AI-embedded or AI-native applications in a systematic, secure, and compliant manner.
Define and implement scalable platforms, models, and processes for AI application deployment.
Collaborate closely with development teams, application owners, and cybersecurity specialists to ensure secure, efficient, and seamless AI solution integration.
Establish best practices for AI operations, deployment, and monitoring.
Continuously optimise AI infrastructure, ensuring efficient use of resources.
Monitor, fine-tune, and enhance AI application performance, accuracy, and robustness.
Drive a culture of continuous improvement, ensuring AI systems remain adaptive and resilient.
Skills & Experience
Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.
A strong passion for AI development and operations.
Proficiency in Python and hands-on experience in AI application deployment.
Experience with AWS services and cloud-based AI deployment.
Knowledge of DevOps practices and tools for automating AI workflows.
Understanding of AI/ML model lifecycle management and monitoring.
Familiarity with cybersecurity principles and AI-related security best practices.
The ability to learn new technologies quickly and adapt to evolving AI trends.
A progressive mindset with innovative problem-solving skills.
Strong collaboration and communication skills to bridge technical and non-technical teams.
Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes) is a plus.
Disclaimer
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
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No Liability: SpringCube is not liable for inaccuracies.
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