MLOps Automation Engineer
We are looking for a motivated and goal-oriented MLOps Automation Engineer to join our team.
Automate the entire machine learning lifecycle from development to production.
Build CI/CD pipelines for models, implement automated monitoring, and orchestrate training at scale.
Make ML repeatable, reliable, and scalable.
Design and maintain automated ML pipelines (training, testing, deployment)
Implement CI/CD for models of machine learning
Automate model retraining and continuous learning
Configure model monitoring and alerting systems
Optimize infrastructure for training and inference
Automate feature engineering pipelines
Build infrastructure as code (Terraform, CloudFormation)
Manage containerization (Docker, Kubernetes) of models
MLflow, Kubeflow, Azure ML, AWS SageMaker
Docker and Kubernetes
CI/CD tools: Jenkins, GitLab CI, GitHub Actions
Python and frameworks ML (TensorFlow, PyTorch, scikit-learn)
Infrastructure as Code: Terraform, Ansible
Cloud platforms (AWS, Azure, GCP) expertise
Apache Airflow, Prefect, Dagster for orchestration
Prometheus, Grafana for monitoring
Linux/Unix systems
Git and version control
Applies to individuals located in Latin America
100% Remote
Remuneration in dollars
Stability and growth opportunities
If you're ready to turn data into game-changing insights, we want to hear from you Apply today.