Remote ML Engineer: Build Scalable Models & Pipelines

BairesDev; United States; Remote; MXN 420,000 - 660,000; Full time

Benefits offered by this job

Remote work

USD payments

Home office setup

Flexible schedule

Parental leave

Global team

Mentorship programs

Job summary

BairesDev is seeking a Senior ML Engineer to design and implement machine learning solutions that turn data into actionable insights. You will build models, develop pipelines, and work with cross-functional teams to deploy scalable ML systems.

The role emphasizes collaboration, code reviews, and applying ML best practices. You will work 100% remotely within a globally distributed team and have opportunities for growth and mentorship.

Qualifications

• 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.

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

ML frameworks

Data processing

Cloud platforms

Containerization

English

Job description

BairesDev is seeking a Senior ML Engineer to design and implement machine learning solutions that turn data into actionable insights. You will build models, develop pipelines, and work with cross-functional teams to deploy scalable ML systems.

The role emphasizes collaboration, code reviews, and applying ML best practices. You will work 100% remotely within a globally distributed team and have opportunities for growth and mentorship.