Machine Learning Engineer (Remote)

About the role

Join BairesDev as a Machine Learning Engineer and develop cutting‑edge ML solutions that turn data into actionable business value. This fully remote role focuses on building models, creating data pipelines, and collaborating with cross‑functional teams to deploy scalable systems.

Key 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 optimise 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.

Required profile

• 3+ years of experience in machine learning engineering or a related field.
• 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 containerisation technologies.
• Advanced level of English.

Required skills

• Python
• Machine learning frameworks/libraries
• Data processing and feature engineering
• Cloud platforms
• Containerisation technologies (e.g., Docker, Kubernetes)

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible hours – create your own schedule.
• Paid parental leave, vacations and national holidays.
• Innovative, multicultural environment with top‑tier talent.
• Mentorship, promotions, skill development and diverse growth opportunities.