AI/ML Engineer (Computer Vision) | Hybrid Work Setup

RecruitNest Consulting; Makati; Hybrid; PHP 1,800,000 - 3,000,000; Full time

Job summary

RecruitNest Consulting seeks a Senior Machine Learning Engineer in Metro Manila (Hybrid: 3x onsite per week) to design, develop, and scale ML solutions that drive data‑driven decisions and consumer insights. You will work with data scientists, engineers, and business stakeholders to deliver AI-powered outcomes.

The role covers the full ML lifecycle—from data prep and experiments to model deployment and performance optimization, with production workloads on Azure and a strong emphasis on

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 ML 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 ML 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.

Responsibilities

• Review, validate, and enhance training datasets to improve model accuracy and consistency.
• Design, build, and maintain scalable ML 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

Machine Learning

Data pipelines

SQL

Education

Bachelor's Degree in Computer Science/IT/Data Science

Tools

scikit-learn

NumPy

pandas

Polars

PyArrow

PyTorch

MLflow

Optuna

PyTorch Lightning

Databricks

Azure

Job description

• Position Type: Experienced - Senior/Lead
• Employment Type: Full-Time, Permanent (Direct Hire)
• Work Schedule: Weekdays; Night Shift (US)
• Industry: Artificial Intelligence / Retail Technology

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 client's 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:

• 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.