AI/ML Engineer, Computer Vision

Jobtailor; Makati; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

Jobtailor, based in Makati, Philippines, seeks an experienced Machine Learning Engineer to design, build, and maintain scalable ML workflows. You will validate training data, run experiments, and deploy models in production using Azure ML.

Ideal candidates have 3+ years in ML/AI, strong Python skills, PyTorch and MLflow experience, plus SQL and data library proficiency. You will collaborate with engineering teams to improve automation, CI/CD, and reproducibility across markets.

Qualifications

• Bachelor's degree in CS/IT/Data Science or related field.
• Minimum 3 years of machine learning engineering or AI engineering experience.
• Strong Python proficiency and ability to build scalable data pipelines.
• Hands-on experience with ML libraries such as scikit-learn, NumPy, pandas, Polars, PyArrow.
• Deep learning experience with PyTorch preferred.
• Strong SQL skills for complex data analysis.
• Experience with Azure ML or equivalent cloud ML services.
• Familiarity with software engineering fundamentals: version control, code reviews, collaboration.
• Excellent communication and technical writing skills.
• Prefer background in computer vision, multimodal AI, transfer learning or vision-language models (CLIP, SigLIP).
• Experience with MLflow, Optuna, PyTorch Lightning.
• MLOps knowledge: CI/CD, containerized deployments, automation workflows.

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.

Skills

Python

Data pipelines

SQL

PyTorch

scikit-learn

NumPy

pandas

Polars

PyArrow

MLflow

Optuna

PyTorch Lightning

Docker

MLOps

CI/CD

Git

Technical writing

Education

Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field

Tools

Azure ML

Azure Blob Storage

Databricks

Cloud platforms

Job description

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

• Bachelor's 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.