Senior MLOps Engineer - Remote Work

BairesDev; Colombia; A distancia; COP 381.934.000 - 572.902.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD payments

Hardware and software setup

Flexible hours

Parental leave

Vacations and holidays

Mentorship and growth

Descripción de la vacante

BairesDev is seeking a Senior MLOps Engineer for a fully remote role. You will design and maintain robust CI/CD pipelines, automate deployment and monitoring of ML models, and build scalable ML infrastructure.

You will collaborate with data scientists to productionize models, implement monitoring, and ensure security and governance across systems. The ideal candidate has 5+ years in MLOps/DevOps, strong software architecture knowledge, and hands-on experience with Docker, Kubernetes, cloud

Formación

• 5+ years of experience in MLOps, DevOps or ML infrastructure.
• Strong background in software architecture design.
• Strong understanding of system security.
• Experience with CI/CD pipelines, model monitoring and ML lifecycle management.
• Proficiency with cloud environments and containerization (Docker, Kubernetes).
• Experience with relational and non-relational databases.
• Ability to evaluate and select MLOps tools and technologies, understanding trade-offs.
• Advanced level of English.

Responsabilidades

• Design and maintain CI/CD pipelines for ML models.
• Automate model deployment, monitoring, retraining and versioning.
• Build and optimize ML infrastructure for scalability and reliability.
• Collaborate with data scientists and ML engineers to productionize models.
• Establish monitoring systems and automate feedback loops for model performance.
• Implement best practices in automation, governance and reproducibility.
• Evaluate and integrate modern MLOps tools and frameworks.
• Ensure compliance, security and scalability of ML systems in production.

Conocimientos

MLOps

DevOps

Cloud environments

English proficiency

Herramientas

Docker

Kubernetes

CI/CD tools

Descripción del empleo

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.

Senior MLOps Engineer at BairesDev

What You’ll Do:

• - Design and maintain advanced CI/CD pipelines for machine learning models.
• - Automate model deployment, monitoring, retraining, and versioning.
• - Build and optimize ML infrastructure to ensure scalability, reliability, and high performance.
• - Collaborate with data scientists and ML engineers to productionize models and streamline workflows.
• - Establish monitoring systems and automate feedback loops for model performance.
• - Implement best practices in automation, governance, and reproducibility.
• - Evaluate and integrate modern MLOps tools and frameworks.
• - Ensure compliance, security, and scalability of ML systems in production.

What we are looking for:

• - 5+ years of experience in MLOps, DevOps, or ML infrastructure.
• - Strong background in software architecture design.
• - Strong understanding of system security.
• - In-depth knowledge of performance optimization and automation.
• - Proven experience with CI/CD pipelines, model monitoring, and ML lifecycle management.
• - Skilled in cloud environments and containerization (Docker, Kubernetes).
• - Skilled in relational and non-relational databases.
• - Ability to evaluate and select MLOps tools and technologies, understanding their trade-offs.
• - 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.