Principal MLOps Engineer - Mexico - fully remote opportunity jobs in United States
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Bydrec, Inc. · 17 hours ago

Principal MLOps Engineer - Mexico - fully remote opportunity

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. They are seeking a highly experienced Principal MLOps Engineer to lead the design, deployment, and optimization of scalable machine learning infrastructure, ensuring ML models move reliably from experimentation to production while meeting performance, security, and compliance standards.

SoftwareWeb Development
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Work & Life Balance

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

Qualification

MLOpsKubernetesPythonCloud provider experienceML frameworksBash scriptingCI/CD pipelinesMonitoring toolsModel governance

Required

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

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

Benefits

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

Company

Bydrec, Inc.

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Bydrec, Inc. matches top IT talent in South America to highly desirable U.S. companies.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase