Senior Full-Stack ML Engineer

Senior Full-Stack ML Engineer 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 Manila time, overlaps with UK operating hours Employment type: Permanent Location: Makati City, Metro Manila Pay range: We value transparency and want to ensure a good fit for both parties. We encourage applicants who are comfortable within the salary range of Php 104,000 to 142,000 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. 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. The organization offers a wide range of benefits and opportunities including: 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 a Senior Full-Stack ML Engineer? Reporting to the AI/ML Technical Lead, your accountabilities will include: Take end‑to‑end ownership of designing, building, and optimizing mission‑critical ML systems, with a core focus on NLP and LLMs. Lead the technical strategy for developing and fine‑tuning models (PyTorch, Hugging Face) and implementing LLM‑based workflows (LangChain). Design, build, and take accountability for highly performant and secure ML‑serving APIs (FastAPI) and their data persistence strategy (SQLAlchemy, SQL/NoSQL). Establish and govern standards for dataset construction , evaluation metrics, and a comprehensive testing strategy (Pytest). Drive the integration of ML services with external infrastructure (like Kafka, REST APIs) and collaborate with MLOps for scalable deployment on AWS. Please review the attached job description for further details on the role. What makes you the ideal candidate for this role? An ideal candidate has the following qualities: Essential: Extensive experience in full‑stack ML development, with a proven track record of deploying and monitoring models in production. Strong programming skills in Python and proficiency in building APIs (FastAPI), testing (Pytest), and managing data persistence (SQLAlchemy, SQL/NoSQL). Deep expertise in ML frameworks, specifically PyTorch and the Hugging Face ecosystem. Experience with data science libraries (Pandas, NumPy, scikit‑learn) and familiarity with LLM applications using tools like LangChain. Experience with AWS for deployment and integrating ML services with systems like Kafka queues or external REST APIs. For the selection process, note that there may be a technical interview to assess your skills that can include a take home task. 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. Applications received through the system will be reviewed on a rolling basis and may close the vacancy once sufficient applications are received. Therefore, if you are interested, tailor-fit your CV (advantageous if you submit one with a Cover Letter) and submit as early as possible. #J-18808-Ljbffr