Remote ML Engineer: Build Scalable Models & Pipelines

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

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.