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.

Key Responsibilities:

✅ 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

Requirements:

✅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

Important

🔹 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.