Machine Learning Engineer - Remote Work | REF#298149

BairesDev; United States; Remote; MXN 1,676,000 - 2,421,000; Full time

Benefits offered by this job

Remote work

Competitive USD compensation

Home office setup provided

Flexible hours

Parental leave

Career growth

Job summary

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

You'll design production pipelines with Python and TensorFlow/PyTorch, deploy scalable serving infra, and advance MLOps practices. Join a global, diverse team delivering impact from anywhere.

Qualifications

• 4+ years of experience in Machine Learning Engineering or Software Engineering.
• 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.

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

ML Engineering

Python

MLOps

Model Serving

Data Drift Monitoring

Tools

TensorFlow

PyTorch

Docker

Kubernetes

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!