Remote ML Engineer - Production ML & MLOps

BairesDev; Mexico; On-site; PHP 6,785,934 - 10,487,352; Full time

Benefits offered by this job

100% remote work

USD compensation or local currency

Hardware and software setup for home

Job summary

BairesDev is seeking a Machine Learning Engineer to design, build, and deploy production ML models. You will integrate data science and engineering practices to ensure scalable training, serving, and monitoring of ML systems at scale.

Join a global, 100% remote team and work with TensorFlow or PyTorch, driving impactful ML deployments. This role offers flexible hours, competitive USD compensation, and a collaborative, multicultural environment.

Qualifications

• 4+ years of experience in Machine Learning Engineering or Software Engineering.
• Proven track record deploying ML models to production.
• Proficiency with Python and DL frameworks (TensorFlow, PyTorch).
• Hands-on with MLOps practices and model serving infrastructures.

Responsibilities

• Design and develop production-ready machine learning pipelines using Python and frameworks like TensorFlow or PyTorch.
• Deploy and manage scalable model serving infrastructure to support real-time and batch predictions.
• Implement and optimize MLOps practices to automate model testing, deployment, and versioning.
• Monitor production models for performance degradation and data drift.
• Collaborate with data scientists to translate experimental models into robust production code.

Skills

Python

TensorFlow/PyTorch

MLOps

Model serving

ML monitoring

Tools

Docker

Job description

BairesDev is seeking a Machine Learning Engineer to design, build, and deploy production ML models. You will integrate data science and engineering practices to ensure scalable training, serving, and monitoring of ML systems at scale.

Join a global, 100% remote team and work with TensorFlow or PyTorch, driving impactful ML deployments. This role offers flexible hours, competitive USD compensation, and a collaborative, multicultural environment.