AIML Engineer

Job Expectations:

• Position Type: Experienced - Senior/Lead
• Employment Type: Full-Time Permanent (Direct Hire)
• Work Setup & Location: Hybrid (3x onsite/week) - Makati City
• Work Schedule: Weekdays; Night Shift (US)
• Industry: Artificial Intelligence / Retail Technology

About the Job:

Our client is seeking a Senior Machine Learning Engineer to join our clients team and help design develop and scale machine learning solutions that support data-driven decision-making and consumer insights. This role involves working across the full ML lifecycle from data preparation and experimentation to model deployment and performance optimization. You will partner closely with data scientists engineers and business stakeholders to deliver reliable AI-powered solutions that create measurable business impact.

Key Responsibilities:

• Review validate and enhance training datasets to improve model accuracy and consistency.
• Design build and maintain scalable machine learning and data processing workflows.
• Create evaluation methodologies to assess model performance across multiple markets datasets and business contexts.
• Monitor model outcomes and recommend enhancements to improve effectiveness and efficiency.
• Run experiments involving feature development model selection hyperparameter optimization and data enrichment techniques.
• Develop AI and computer vision solutions that address complex business requirements.
• Deploy and operationalize machine learning models within production environments.
• Support testing monitoring documentation and continuous improvement of deployed models.
• Manage machine learning workloads and training processes within cloud-based platforms primarily Azure.
• Utilize SQL to analyze large datasets and generate meaningful insights.
• Work closely with engineering teams to improve automation reproducibility and development best practices.

Qualifications:

• Bachelors Degree in Computer Science Information Technology Data Science or a related field.
• At least 3 years of experience in Machine Learning Engineering AI Engineering or a similar technical role.
• Strong proficiency in Python and experience developing scalable applications and data pipelines.
• Hands-on experience with machine learning and data processing libraries such as scikit-learn NumPy pandas Polars and PyArrow.
• Practical experience with deep learning frameworks preferably PyTorch.
• Strong SQL knowledge with the ability to perform complex data analysis and extraction.
• Experience using Azure Machine Learning or comparable cloud-based machine learning services.
• Understanding of software engineering fundamentals including source control code reviews and collaborative development practices.
• Strong communication skills with the ability to create clear technical documentation.

Preferred:

• Background in computer vision multimodal AI transfer learning or vision-language models such as CLIP and SigLIP.
• Experience using tools such as MLflow Optuna and PyTorch Lightning.
• Familiarity with MLOps concepts CI/CD processes containerized deployments and automation workflows.
• Exposure to Databricks Azure Blob Storage or similar cloud data technologies.
• Ability to translate emerging machine learning research into practical business applications.
• Prior experience in retail analytics consumer insights market research behavioral science or related industries is a plus.

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***Only shortlisted candidates will be contacted. Updating or tailoring your CV is highly recommended***