AI/ML Engineer (Python, SQL, Azure, Computer Vision)

A leading organization is seeking a Machine Learning Engineer (Python, SQL, Azure, Computer Vision) to build and deploy AI/ML solutions focused on computer vision and multimodal models. The role covers model experimentation, data pipelines, ML infrastructure, and analytics using Python, SQL, PyTorch, and Azure ML.

This is a unique opportunity to join a collaborative AI and engineering team that is shaping the future of how brands optimise packaging, enhance consumer engagement, and drive sales across diverse sectors such as Consumer Packaged Goods, Health & Well-Being, Technology, and Retail. You will be empowered to work with real-world data at scale, contribute directly to production systems used by household brands, and benefit from mentorship designed to accelerate your professional development. The organisation offers a supportive environment where your technical expertise will have immediate impact, and you will have access to state-of-the-art tools and infrastructure. If you are passionate about building robust machine learning solutions and eager to see your work make a tangible difference, this role provides the perfect platform for your next career step.

• Work with thousands of behavioural observations and cutting-edge AI tools to deliver impactful solutions for globally recognised brands.
• Benefit from close mentorship with experienced leaders who are committed to supporting your professional growth and knowledge sharing.
• Enjoy a clear trajectory for advancement, moving from hands-on execution to ownership as you deepen your expertise within a supportive team environment.

What you'll do:

As a Machine Learning Engineer in this forward-thinking team based in Makati, you will play a pivotal role in designing, evaluating, and deploying advanced AI models that directly influence consumer decision-making at scale. Your day-to-day activities will involve auditing complex data pipelines for quality assurance, developing innovative evaluation frameworks that reflect real-world performance, running sophisticated experiments with modern computer vision techniques, and integrating successful outcomes into robust production systems. You will also be responsible for maintaining cloud-based infrastructure on Azure ML, responding swiftly to analytical queries from consulting teams using SQL-driven insights, and ensuring seamless deployment of new features without impacting current operations. Success in this position requires not only technical proficiency but also strong communication skills for effective collaboration across multidisciplinary teams. Your contributions will be instrumental in delivering reliable AI-powered solutions that shape the strategies of major brands worldwide.

• Audit and improve training data pipelines by identifying problematic samples, correcting category mislabelling, refining train/test stratification, and detecting data leakage to ensure high-quality datasets.
• Contribute to the creation of robust and reproducible data workflows that support scalable machine learning operations across multiple regions and product categories.
• Build and execute reproducible model evaluation workflows that go beyond aggregate metrics, developing qualitative assessment frameworks to capture real-world prediction quality.
• Design and run targeted machine learning experiments by testing new data splits, augmentation strategies, encoders, or hyperparameter configurations while adapting modern computer vision and multimodal techniques as needed.
• Integrate validated experimental results into production training pipelines, ensuring research pipelines such as saliency maps and visualisation tools are repeatable, well-documented, and accessible to other team members.
• Support the management of machine learning training infrastructure on Azure by launching training jobs, managing checkpoints, debugging compute issues, and improving the reproducibility of training runs.
• Respond promptly to ad hoc analytical requests by pulling data via SQL, investigating model behaviour on specific segments, and producing quick analyses or annotated tables for consulting teams.
• Ensure all changes are thoroughly tested and deployed without disrupting existing functionality or workflows within the production environment.
• Collaborate closely with cross-functional teams including consulting professionals to translate business questions into actionable insights using advanced analytics.
• Document work clearly and communicate findings or blockers effectively in writing to both technical colleagues and non-technical stakeholders.

What you bring:

To excel as a Machine Learning Engineer in this role you will bring proven experience applying advanced machine learning techniques—particularly within computer vision or multimodal contexts—to solve practical business challenges. Your background should include solid software engineering practices using Python for maintainable code development alongside fluency in essential libraries such as pandas/polars and scikit-learn. You should be adept at leveraging deep learning frameworks like PyTorch for building scalable models while also being comfortable navigating cloud-based platforms such as Azure ML for orchestrating large-scale training jobs. Your ability to conduct thorough ad hoc analyses using SQL will enable you to respond quickly to evolving business needs. Additionally, familiarity with AI-assisted coding tools will help streamline your workflow. Strong written communication skills are vital for documenting processes clearly and collaborating effectively across teams—including those less familiar with technical concepts. Preferred qualifications include hands-on experience with transfer learning methods for vision encoders; use of experiment tracking tools; understanding of CI/CD best practices; comfort reading academic literature; and ideally some exposure to domains where model interpretability is crucial.

• 3–5 years of experience in applied machine learning or machine learning engineering with hands-on exposure to computer vision or multimodal models in production environments.
• Demonstrated software engineering fundamentals including clean modular code design in Python suitable for production-grade applications rather than just notebooks; experience working within established codebases and shipping code through pull requests.
• Fluency in the Python machine learning ecosystem (such as pandas/polars, PyArrow, scikit-learn, numpy) combined with strong SQL skills for efficient data manipulation and analysis.
• Hands-on experience with deep learning frameworks—preferably PyTorch—for building scalable models tailored to business needs.
• Comfortable conducting ad hoc data analysis: able to write complex SQL queries, extract relevant datasets, clean data efficiently, and provide rapid quantitative answers to business questions.
• Experience working with Azure ML or equivalent cloud-based machine learning platforms involving job orchestration, compute management, and model registry maintenance.
• Proficiency with AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) as well as LLM-driven workflows integrated into daily engineering practice.
• Strong written communication skills enabling clear documentation of work processes along with effective reporting of findings or blockers to both technical peers and non-technical stakeholders.
• Preferred: Experience with transfer learning or fine-tuning vision encoders (such as CLIP or SigLIP) within multimodal pipelines for enhanced model performance.
• Preferred: Familiarity with experiment tracking frameworks like PyTorch Lightning or Optuna; experience with CI/CD pipelines (GitHub Actions), containerised deployments (Docker), Databricks or Azure Blob Storage; ability to read ML research papers critically; background in consumer research or behavioural science where interpretability is key.

What sets this company apart:

This organisation stands out as an industry leader dedicated to harnessing the power of data intelligence for real-world impact on consumer behaviour at the point of purchase. By joining their Makati-based team you become part of an inclusive culture that values collaboration over competition—where knowledge sharing is encouraged through close mentorship from experienced leaders invested in your personal growth. The company’s commitment to using cutting-edge AI-assisted development tools ensures you always have access to the latest technology while working on projects that matter: your code ships directly into production environments influencing decisions made by globally recognised brands. With access to vast datasets comprising thousands of genuine behavioural observations—not just toy problems—you’ll gain invaluable experience solving meaningful challenges at scale. The organisation offers a transparent path for career progression from hands-on execution towards greater ownership as you build expertise within their supportive network. Here you can expect not only professional fulfilment but also the satisfaction of seeing your contributions make a tangible difference every day.

What's next:

If you are ready to take your career further by making a direct impact through advanced machine learning solutions—this is your chance!

Apply today by clicking on the link provided—your next exciting opportunity awaits.

Due to the high volume of applications we are experiencing, our team will only be in touch with you if your application is shortlisted.