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AI Systems

ML Engineer

Full-time · Remote · Faisalabad / Remote

Take models from experiment to production: training, evaluation, serving, and monitoring that stays honest.

Responsibilities

Build training and evaluation pipelines for domain models and LLMs.
Ship inference services with clear latency, cost, and quality targets.
Document trade-offs so product teams can trust model behavior.

Requirements

Hands-on PyTorch or similar deep learning experience.
Experience deploying models (Docker, cloud, or GPU serving).
Ability to explain model limits without hype.
Questions? Email hr@cancodedevs.com.

Apply for ML Engineer

Applications go to hr@cancodedevs.com.