Machine Learning Engineer (Computer Vision & Azure) | Hybrid Setup

RecruitNest Consulting; Makati; Hybrid; PHP 2,009,000 - 3,125,000; Full time

Job summary

RecruitNest Consulting in Makati seeks a Senior Machine Learning Engineer to join its AI and Data Intelligence team. You will build scalable ML solutions, focusing on data quality, model evaluation, experimentation, and production deployment of machine learning models.

You will collaborate with cross-functional teams to develop and optimize AI solutions, ensuring reliable and high-performing systems for global business initiatives, with a hybrid work setup (3x onsite/week in Makati) and a focus

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of solid experience in Machine Learning Engineering, Applied ML, or a related role.
• Strong Python programming skills with experience building production-grade applications and pipelines.
• Experience with ML libraries such as scikit-learn, NumPy, pandas, Polars, and PyArrow.
• Experience with deep learning frameworks such as PyTorch or equivalent.
• Strong SQL skills and experience performing data extraction and analysis.
• Experience working with Azure Machine Learning or similar cloud-based ML platforms.
• Familiarity with software development best practices, version control, code reviews, and pull request workflows.
• Strong written communication and technical documentation skills.

Responsibilities

• Audit, clean, and improve training datasets to enhance model performance and reliability.
• Build and maintain robust, reproducible data and machine learning pipelines.
• Develop and execute model evaluation frameworks across different datasets, regions, and business scenarios.
• Analyze model performance and identify opportunities for optimization and improvement.
• Conduct machine learning experiments involving feature engineering, data augmentation, model architectures, and hyperparameter tuning.
• Apply computer vision and multimodal AI techniques to solve real-world business challenges.
• Integrate validated machine learning solutions into production environments.
• Support model deployment, testing, documentation, and ongoing maintenance activities.
• Manage and optimize machine learning training workflows within Azure-based environments.
• Perform SQL-based data analysis and provide actionable insights to stakeholders.
• Collaborate with engineering and data teams to improve development standards, automation, and reproducibility.

Skills

Python

ML Pipelines

SQL

Azure ML

PyTorch

Data Analysis

Version Control

Documentation

Education

Bachelor's Degree in CS/IT

Tools

scikit-learn

NumPy

pandas

Polars

PyArrow

Azure ML

Databricks

MLflow

Job description

Job Expectations

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

About the Job

We are looking for a Senior Machine Learning Engineer to join our client's AI and Data Intelligence team and help build scalable machine learning solutions that drive business insights and consumer engagement. In this role, you will work on data quality improvement, model evaluation, experimentation, and production deployment of machine learning models. You will collaborate with cross-functional teams to develop and optimize AI solutions, ensuring reliable and high-performing systems that support global business initiatives.

Key Responsibilities

• Audit, clean, and improve training datasets to enhance model performance and reliability.
• Build and maintain robust, reproducible data and machine learning pipelines.
• Develop and execute model evaluation frameworks across different datasets, regions, and business scenarios.
• Analyze model performance and identify opportunities for optimization and improvement.
• Conduct machine learning experiments involving feature engineering, data augmentation, model architectures, and hyperparameter tuning.
• Apply computer vision and multimodal AI techniques to solve real-world business challenges.
• Integrate validated machine learning solutions into production environments.
• Support model deployment, testing, documentation, and ongoing maintenance activities.
• Manage and optimize machine learning training workflows within Azure-based environments.
• Perform SQL-based data analysis and provide actionable insights to stakeholders.
• Collaborate with engineering and data teams to improve development standards, automation, and reproducibility.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, or a related field.
• 3+ years of solid experience in Machine Learning Engineering, Applied Machine Learning, or a related role.
• Strong Python programming skills with experience building production-grade applications and pipelines.
• Hands-on experience with machine learning libraries such as scikit-learn, NumPy, pandas, Polars, and PyArrow.
• Experience with deep learning frameworks such as PyTorch or equivalent.
• Strong SQL skills and experience performing data extraction and analysis.
• Experience working with Azure Machine Learning or similar cloud-based ML platforms.
• Familiarity with software development best practices, version control, code reviews, and pull request workflows.
• Strong written communication and technical documentation skills.

Preferred

• Experience with computer vision, multimodal AI models, transfer learning, or vision encoders such as CLIP or SigLIP.
• Familiarity with tools such as PyTorch Lightning, Optuna, and MLflow.
• Experience with CI/CD pipelines, containerization, and MLOps practices.
• Exposure to Databricks, Azure Blob Storage, or similar cloud data platforms.
• Ability to interpret and apply machine learning research to practical business use cases.
• Experience in consumer research, retail analytics, behavioral science, or related domains is an advantage.
• Only shortlisted candidates will be contacted. Updating or tailoring your CV is highly recommended***