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R

AI/ML Engineer, Computer Vision

RecruitNest Consulting

Senior Machine Learning Engineer designing and optimizing machine learning solutions for retail technology. Collaborating with cross-functional teams to enhance data-driven decision-making and consumer insights.

Posted 7/16/2026full-timeMakati City • 🇵🇭 PhilippinesMid-LevelSenior💰 ₱160,000 - ₱230,000 per monthWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Machine Learning Engineering and AI solutions, with strong capabilities in Python programming, SQL data analysis, and cloud-based deployment using Azure. Proficient in developing scalable machine learning workflows and enhancing model performance through rigorous evaluation methodologies.

Highest-signal resume keywords
Machine Learning EngineeringPython ProgrammingSQL Data AnalysisAzure Machine LearningDeep Learning Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningData ProcessingModel EvaluationFeature DevelopmentHyperparameter OptimizationAI SolutionsComputer VisionData PipelinesAutomation WorkflowsMLOps
Soft Skills
Strong Communication SkillsTechnical Documentation
Tools & Technologies
Scikit-learnNumPyPandasPolarsPyArrowPyTorchMLflowOptunaPyTorch LightningDatabricks
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Information TechnologyBachelor's Degree in Data Science
Industry Keywords
Retail AnalyticsConsumer InsightsMarket ResearchBehavioral ScienceMultimodal AI

Tech Stack

Tools & technologies
AzureCloudNumpyPandasPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account RecruitNest Consulting Website LinkedIn All Job Openings 1 - 10 employees Founded 2024 🎯 Recruiter 🤝 B2B Recruitment
  • B2B RecruitNest Consulting is a dynamic talent solutions partner that connects top professionals with organizations and helps build future-ready teams through personalized, efficient, and results-driven hiring strategies. The firm offers talent acquisition, team-building, and recruitment consulting services to streamline hiring processes and improve organizational staffing outcomes for client companies. AI/ML Engineer, Computer Vision Job not on LinkedIn 🔥 10 minutes ago 🏢🏡 Makati City – Hybrid 💵 ₱160k - ₱230k / month ⏰ Full Time 🟡 Mid-level 🟠 Senior 👁️ Computer Vision Engineer Azure Cloud Numpy Pandas Python PyTorch Scikit-Learn SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • 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. 🎯 Requirements
  • 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. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs