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Principal MLOps Engineer - Mexico - fully remote opportunity
full-time
About this role
About the Company
Bydrec, Inc. is a California-based company that connects top Tech talent from Latin America with U.S. companies looking to expand their development teams. Learn more at bydrec.com.
About the Role
We are looking for a highly experienced Principal MLOps Engineer to lead the design, deployment, and optimization of scalable machine learning infrastructure. This role is critical to ensuring ML models move reliably from experimentation to production while meeting performance, security, and compliance standards.
You will work closely with data scientists, software engineers, and platform teams to define and drive MLOps best practices, enabling robust and production-ready AI solutions.
This is a fully remote role, open to candidates based in Mexico.
Key Responsibilities
- Design, build, and maintain scalable MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
- Lead the implementation and operation of containerized ML workloads using Kubernetes (K8s).
- Collaborate with data science and engineering teams to productionize machine learning models.
- Automate model versioning, rollback strategies, performance tracking, and monitoring.
- Ensure high availability, security, and compliance of ML infrastructure and workflows.
- Develop and manage infrastructure as code using tools such as Terraform and Helm.
Define, document, and enforce best practices for model governance, reproducibility, and reliability.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
- 5–10 years of experience in MLOps, DevOps, or software engineering roles.
- Strong hands-on experience with Kubernetes and container orchestration.
- Proficiency in Python and Bash scripting.
- Experience working with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
- Familiarity with CI/CD pipelines and monitoring/observability tools.
Preferred Qualifications
- Experience with Kubeflow, MLflow, or similar MLOps platforms.
- Exposure to data versioning tools such as DVC or LakeFS.
- Knowledge of model explainability, governance, and compliance frameworks.
- Contributions to open-source MLOps or DevOps projects.
Why Join?
- 100% remote work while being part of a U.S.-based team
- Opportunity to work on large-scale, production-grade AI systems
- High-impact, leadership-level role in MLOps and cloud-native environments
- Collaborative and international work culture
What you'll do
- The Principal MLOps Engineer will design, build, and maintain scalable MLOps pipelines for model training and deployment. They will also lead the implementation of containerized ML workloads and ensure the security and compliance of ML infrastructure.
About Bydrec
Bydrec, Inc. matches top IT talent in South America to highly desirable U.S. companies. Founded in 2016 by Tech pros with more than 17 years of industry experience, we differentiate ourselves by taking great care to expertly match nearshoring IT talent with their perfect U.S. company. Because great things happen when businesses and people find their right fit.
We are headquartered in Northern California and operate out of Colombia, South America. Unlike our Asian and European counterparts, we share time zones with U.S. clients, allowing our team members to engage with clients in a more collaborative endeavor. This reduces delays and ensures we deliver on the goals and requirements of projects seamlessly.
By working with latin american developers, we’re also able to offer high-quality teams for great cost of U.S.-based talent. Our nearshore outsourcing rates are competitive with Eastern Europe and Asia. We provide dedicated programmers that work full-time as members of your team for a flat, affordable monthly rate.
As industry experts, we know the benefits of companies outsourcing their technical needs for business applications. That’s why we are dedicated to helping give companies a competitive advantage by optimizing efficiency, focusing on excellent customer service and delivering customizable solutions.
Find your next Tech dream job or IT developer by visiting bydrec.com
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Frequently Asked Questions
What does a Principal MLOps Engineer - Mexico - fully remote opportunity do at Bydrec?
As a Principal MLOps Engineer - Mexico - fully remote opportunity at Bydrec, you will: the Principal MLOps Engineer will design, build, and maintain scalable MLOps pipelines for model training and deployment. They will also lead the implementation of containerized ML workloads and ensure the security and compliance of ML infrastructure..
How do I apply for the Principal MLOps Engineer - Mexico - fully remote opportunity position at Bydrec?
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