ML Engineer - Remote Work

BairesDev; United States; Remote; MXN 1,099,000 - 1,649,000; Full time

Benefits offered by this job

100% remote work

Competitive USD or local currency pay

Home workspace setup

Flexible hours

Paid parental leave & vacations

Mentorship and growth opportunities

Job summary

BairesDev is recruiting a Machine Learning Engineer to build and deploy ML solutions that turn data into actionable insights. You will design models, create data pipelines, and work with cross-functional teams to deploy scalable systems that solve real-world problems.

The role is 100% remote with flexible hours and competitive compensation in USD or local currency, plus hardware and software setup for a productive WFH experience.

Qualifications

• 3+ years of experience in machine learning engineering or related fields.
• Strong knowledge of ML algorithms and statistical methods.
• Proficiency in Python and experience with ML frameworks and libraries.
• Experience with data processing and feature engineering techniques.
• Familiarity with cloud platforms and containerization technologies.
• Advanced level of English.

Responsibilities

• Build and train machine learning models for various business applications.
• Develop and maintain ML pipelines for data processing and model deployment.
• Collaborate with data scientists to implement algorithms and optimize model performance.
• Monitor and improve existing ML systems to ensure accuracy and reliability.
• Participate in code reviews and contribute to ML best practices across the team.
• Document technical processes and communicate findings to stakeholders.

Skills

Python

Machine learning

Algorithms

Feature engineering

Data processing

English

Tools

ML frameworks and libraries

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.

ML Engineer at BairesDev

Develop and implement machine learning solutions that turn data into actionable insights and business value. This role focuses on building ML models, creating data pipelines, and collaborating with cross-functional teams to deploy scalable machine learning systems that solve real-world problems.

What You'll Do:

• - Build and train machine learning models for various business applications.
• - Develop and maintain ML pipelines for data processing and model deployment.
• - Collaborate with data scientists to implement algorithms and optimize model performance.
• - Monitor and improve existing ML systems to ensure accuracy and reliability.
• - Participate in code reviews and contribute to ML best practices across the team.
• - Document technical processes and communicate findings to stakeholders.

What We Are Looking For:

• - 3+ years of experience in machine learning engineering or related fields.
• - Strong knowledge of machine learning algorithms and statistical methods.
• - Proficiency in Python and experience with ML frameworks and libraries.
• - Experience with data processing and feature engineering techniques.
• - Familiarity with cloud platforms and containerization technologies.
• - Advanced level of English.

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 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.