Remote ML Engineer - Computer Vision & MLOps Lead

D2B

Philippines

Remote

PHP 900,000 - 2,100,000

Full time

14 days+
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Benefits offered by this job

Remote work from the Philippines
Paid local holidays aligned with AU/NZ
Training and growth opportunities
Work with Australian team

Job summary

D2B is seeking a dedicated Machine Learning Engineer for a remote role. You will design, build and deploy production-grade ML solutions addressing construction challenges, collaborating with engineering and AI teams from anywhere.

The role emphasizes taking ML from concept to production in a remote-first environment. Ideal candidates have 3+ years of commercial ML/AI experience, strong Python and PyTorch skills, and a background in computer vision.

Qualifications

  • Bachelor's degree required in CS/Engineering/AI or related field.
  • 3+ years of commercial ML/AI engineering experience.
  • Proven production ML systems experience.
  • Strong CV model development experience.
  • Experience with end-to-end MLOps: data, training, deployment, monitoring.

Responsibilities

  • Design, develop, and deploy production ML models with a focus on computer vision.
  • Build AI capabilities to analyze construction progress from visual data.
  • Research and implement LLMs, multimodal AI, and generative AI.
  • Design and maintain scalable ML pipelines from data collection to monitoring.
  • Collaborate with engineers, PMs, and AI specialists to integrate ML.

Skills

Python
Computer Vision
MLOps
LLMs & Generative AI
Deep Learning
English communication

Education

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related

Tools

PyTorch
Docker
Kubernetes
CI/CD tools

Job description

D2B is seeking a dedicated Machine Learning Engineer for a remote role. You will design, build and deploy production-grade ML solutions addressing construction challenges, collaborating with engineering and AI teams from anywhere.

The role emphasizes taking ML from concept to production in a remote-first environment. Ideal candidates have 3+ years of commercial ML/AI experience, strong Python and PyTorch skills, and a background in computer vision.

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