AI Ops Engineer - 7459

Cambridge University Press & Assessment; Manila; Hybrid; PHP 1,161,000 - 1,585,000; Full time

Benefits offered by this job

Regular Employment Day 1

HMO & Life Insurance Day 1

Paid Annual Leaves

Vesting/Retirement

Career growth

Well-being programs

Hybrid work

Cross-branch collaboration

Job summary

Cambridge University Press & Assessment is seeking an AI Ops Engineer to join our AI Centre of Excellence in Manila. The role focuses on deploying proof-of-concept AI solutions, collaborating with software developers in a small cross-functional team to build and manage development and testing environments, and evaluating innovative generative AI technologies.

We offer a hybrid work setup, a permanent contract, and a salary range aligned to local market norms.

Qualifications

• Proven experience in AI software development or system administration.
• Experience of Python.
• 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.

Responsibilities

• 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.

Skills

AI software development

Python

Dev/ML Ops

Cloud ecosystems

No-Code deployment

Prompt Flow Engineering

AI solutions

Job description

Work setup: We operate in a hybrid work environment, and we encourage applicants who are open to working in the office two days a week to apply.

Work schedule: Monday to Friday, 10AM to 6PM or 12PM to 8PM Manila time

Employment type: Permanent

Location: Makati City, Metro Manila

Pay range: Php 104,000 to Php 142,000

We value transparency and want to ensure a good fit for both parties. We encourage applicants who are comfortable with this salary range to apply.

Discover a world of endless possibilities with Cambridge University Press & Assessment, a distinguished global academic publisher and assessment organization 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?

Cambridge University Press & Assessment is a world-renowned not-for-profit academic publisher and assessment organisation, proudly part of the prestigious University of Cambridge. With a legacy rooted in over 800 years of educational excellence, we are dedicated to unlocking the potential of learners and educators across the globe.

Joining Cambridge's second largest global office in the Philippines —operating for over 22 years with 1,300+ colleagues— means becoming a part of an extraordinary institution renowned worldwide. We are recognised as a Great Place to Work® for three consecutive years, reflecting our inclusive culture, strong sense of purpose, and commitment to the professional growth and well-being of our people. At Cambridge, we don't just publish books or deliver tests—we empower progress, inspire curiosity, and champion the pursuit of knowledge.

What can you get from Cambridge?

At Cambridge, 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 right environment for you to thrive, supporting your professional journey and empowering you to reach your highest potential, that is why our pay philosophy is intricately tied to your skills and competencies, ensuring that your compensation aligns with the unique value you bring to the role you are applying for.

• Regular Employment on Day 1
• HMO Coverage and Life Insurance on Day 1
• Paid Annual Leaves (Vacation, Well-being, Flexible, Holiday, and Volunteering leaves)
• Vesting/Retirement package
• Opportunities for career growth and development
• Access to well-being programs
• Flexible schedule, hybrid work arrangement and work-life balance
• Opportunity to collaborate with colleagues from diverse branches that will expand your horizons and enrich your understanding of different cultures

What will you do as an AI Ops Engineer?

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.

Please review the attached job description for further details on the role.

What makes you the ideal candidate for this role?

• Proven experience in AI software development or system administration
• Experience of Python
• 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

Are you driven by desire to be part of a globally renowned institution that celebrates innovation, embraces inclusion, and empowers learners? Then, we invite you to Pursue your Potential with us.