Machine Learning Engineer

Scopic

Machine Learning Engineer designing scalable AI/ML services and pipelines in a cloud-based environment. Collaborate on cutting-edge R&D initiatives with a global team.

Posted 5/7/2026full-timeRemote • 🌎 Anywhere in the WorldMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Design, develop, and architect high-performance AI/ML services and pipelines in a cloud-based environment.
Contribute to cutting-edge R&D initiatives, including service integration with emerging frameworks and platforms.
Assist with the technical resolution of issues on mission-critical production systems, embracing the philosophy: "you build it, you own it, you run it."
Think outside the box to devise solutions that scale, are fault-tolerant, easy to grasp, and elegant.

Requirements

What you’ll need

3+ years of hands-on experience with Python.
4+ years of hands-on experience with machine learning, deep learning, large language models, and/or foundational models.
Hands-on experience with cloud-based architectures/infrastructures (AWS), specifically related to AI/ML pipelines.
Experience in building workflows for automated data preparation, curation, and annotation, including secure, scalable storage and retrieval for model training.
Experience in fine-tuning models, training, validating, testing, and deploying them in production settings.
Experience in vision-based AI, including automated data labeling, object detection, and image segmentation.

Benefits

Comp & perks

Your growth is our growth. We invest in your future with paid training and other professional opportunities.
Recognition and reward. We acknowledge diligence and hard work through annual pay increases for good performance.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonmachine learningdeep learninglarge language modelsfoundational modelscloud-based architecturesAI/ML pipelinesautomated data preparationmodel trainingimage segmentation

Soft Skills

problem-solvingcreativitytechnical resolutionownershipscalabilityfault-toleranceelegance