Job description
Join The Foundry at Private Advertiser as a Senior AI Engineer in Bonifacio Global City. You will work at the intersection of client delivery and internal capability building, shaping production-ready AI solutions that drive measurable business impact. This is a hands-on, high-visibility role that blends research, engineering, and collaboration with cross-functional teams to deliver scalable ML systems for a diverse portfolio of clients in the Philippines and beyond. Youâll be part of a growth-focused team that values curiosity, rigor, and pragmatic execution.
In this role, youâll architect and implement end-to-end AI solutionsâfrom data ingestion and feature engineering to model training, evaluation, deployment, and monitoring. Youâll own the end-to-end lifecycle, define success metrics, and partner with product and data teams to ensure alignment with business goals. You will implement robust ML pipelines, experiment with novel algorithms, and drive continuous improvement through A/B testing and rigorous evaluation. A strong emphasis on reliability and governance means youâll apply MLOps practices, establish monitoring dashboards, and ensure privacy, security, and compliance in production systems.
As a senior engineer, youâll mentor teammates, contribute to engineering best practices, and help shape the technical roadmap. Youâll communicate complex results clearly to non-technical stakeholders and create documentation that accelerates knowledge transfer across teams. The environment is fast-paced but collaborative, with opportunities to learn from experts and apply cutting-edge techniques to real-world problems. If youâre passionate about turning data into impact, enjoy solving hard problems, and want to grow into a technical leadership role, this is your opportunity.
Responsibility
- Design, develop, and deploy end-to-end AI/ML solutions that address real client problems and scale across products.
- Collaborate with product, data, and engineering teams to translate business needs into robust data pipelines and machine learning models.
- Lead model development lifecycle: data collection, feature engineering, experimentation, evaluation, and production deployment.
- Implement and evangelize MLOps practices, including versioning, monitoring, logging, and governance for compliant, scalable systems.
- Mentor junior engineers, perform code reviews, and contribute to engineering best practices and standards.
- Stay current with AI research and industry trends; prototype and evaluate new techniques and tools.
- Communicate technical findings and project impact to senior stakeholders; develop clear documentation and impact reports.
Qualification
- Bachelorâs or Masterâs degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of hands-on AI/ML engineering experience with a proven track record of delivering production-grade solutions.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn); strong data analysis skills.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Strong SQL and data engineering skills; experience building and optimizing data pipelines and feature stores.
- Solid understanding of MLOps, model monitoring, drift detection, and CI/CD for ML systems.
- Excellent communication, collaboration, and problem-solving abilities; comfortable working with cross-functional teams.
- Nice to have: experience in NLP or Computer Vision, and familiarity with Agile methodologies.