Machine Learning Engineer - Remote Work | REF#298564

BairesDev; Nuevo León; Remote; MXN 2,239,000 - 3,358,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Hardware and software setup for home

Flexible hours

Paid parental leaves and holidays

Job summary

Machine Learning Engineer at BairesDev is responsible for building and deploying ML models into production. You will integrate data science and engineering principles to ensure scalable training, serving, and monitoring of ML systems across production environments.

You will design production-ready pipelines with Python and frameworks like TensorFlow or PyTorch, deploy model-serving infra, and implement MLOps to automate testing, deployment, and versioning.

Qualifications

• 4+ years of experience in Machine Learning Engineering or Software Engineering.
• Proven expertise in building and deploying ML models into production.
• Proficiency with Python and deep learning frameworks such as TensorFlow or PyTorch.

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 to ensure long-term reliability.
• Work closely with data scientists to translate experimental models into robust, maintainable production code.

Skills

Python programming

ML deployment

MLOps

Tools

TensorFlow

PyTorch

Model serving infra

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Machine Learning Engineer at BairesDev

As a Machine Learning Engineer, you will build and deploy machine learning models into production. You will integrate data science and engineering principles to ensure the efficient training, serving, and monitoring of ML systems at scale.

What You'll Do

• 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 to ensure long-term reliability.
• Work closely with data scientists to translate experimental models into robust, maintainable production code.

What We Are Looking For

• 4+ years of experience in Machine Learning Engineering or Software Engineering.
• Proven expertise in building and deploying machine learning models into production.
• Proficiency with Python and deep learning frameworks such as TensorFlow or PyTorch.
• Hands-on experience with MLOps practices and model serving infrastructures.
• Strong background in training, serving, and monitoring large-scale ML systems.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

#BD-PRIO-2026