Employment type: Permanent

Location: Makati City, Metro Manila 

Work setup: Hybrid (open to 2x a week in the office) 

Pay range: Php 102,000 to Php 139,000

Discover a world of endless possibilities with Cambridge University Press & Assessment, a distinguished global academic publisher and assessment organisation proudly affiliated with the prestigious University of Cambridge.

We are looking for an AI Ops Engineer to join our innovative AI Centre of Excellence, managing deployment of technical proof-of-concepts using cutting-edge generative AI tools and technologies. This new role will be a key part of exploring generative AI at Cambridge, with a focus on delivering capabilities that leverage advanced AI technologies to solve high-priority business problems.

Why Cambridge?

At Cambridge, our unwavering commitment is to excel in education, learning, and research on a global scale. With a presence in over 170 countries, we empower millions of individuals, unlocking their potential and enabling their success. From dedicated teachers shaping young minds to visionary researchers pushing the boundaries of knowledge, we embody a relentless pursuit of enlightenment, curiosity, and understanding.

We embrace change as an opportunity for growth and progress, constantly adapting to meet the evolving needs of our customers. Collaboration and attentive listening are at the heart of our journey, as we work hand in hand with our customers and each other to innovate and discover more effective ways to achieve our goals. We believe people thrive in an environment where Trust and Empowerment are at the forefront, which is why all our new team members are provided regularisation on their first day so they can start #PursuingPotential from day one.

Joining Cambridge means becoming a part of an extraordinary institution renowned worldwide. Beyond that, you'll become a part of a vibrant and forward-thinking community that transcends tradition, fostering a culture of continuous growth and personal development. Here, we provide the perfect environment for you to thrive, supporting your professional journey and empowering you to reach your highest potential.

What can you get from Cambridge?

In this role, you'll have the opportunity to collaborate with colleagues from diverse branches, expanding your horizons and enriching your understanding of different cultures. We value your wellbeing and offer stability, fostering your professional and personal growth through internal and external activities and training sessions to help enrich your skillset.

Enjoy work-life balance flexibility through our range of options, including flexible schedules, hybrid work arrangements, and generous paid leave. As a regular employee on Day One, you'll have access to comprehensive healthcare benefits, ensuring your peace of mind with coverage for dependents, group life insurance, and robust well-being programs.

What makes you the ideal candidate in this role?

 As an AI Ops Engineer, you'll work closely with software developers and in a small, cross-functional team to prioritise work and build and manage development and testing environments, leading to the successful delivery and evaluation of technical proof-of-concepts.

This is an opportunity to learn about cutting-edge technologies that have the potential to transform our industry. You'll be supported to actively seek opportunities for learning, and to feed these into wider best practice, including supporting teams responsible for implementation.

The following will help you be an ideal candidate for this post:

• Proven experience in AI software development or system administration
• Experience of Python
• You have proven Dev/ML Ops or similar experience and are keen to translate this experience into the generative AI arena.
• Working understanding of AI solutions and implementation requirements
• Strong understanding of the direction of travel of emergent AI capabilities
• Knowledge of software development approaches, technologies and methodologies
• Knowledge of software security principles, protocols and standards
• Strong understanding of Cloud Ecosystems
• Good understanding of No-Code deployment and operating models
• Good understanding of Prompt Flow Engineering

If you have a solid understanding of AI solutions and implementation requirements, as well as the direction of travel of these technologies, and the enthusiasm to develop these further. You enjoy change and the challenge of working with new technologies, adapting your approach accordingly., we invite you to pursue your potential with us.