MLOps Engineer

MLOps Technical Engineer

Location: Bogota, Colombia

Employment Type: Contract

Language: English-speaking candidates required

Skills Required:-

1. Python
2. MLOps
3. ML Pipelines
4. MLflow
5. Kubeflow Pipelines
6. Terraform
7. CI/CD – Jenkins / GitLab CI/CD
8. AWS CloudFormation / Ansible
9. Prometheus / Grafana / ELK
10. Git / GitHub / GitLab

Key Responsibilities

• Build and optimize ML pipelines using MLflow, Kubeflow Pipelines, TFX, and Metaflow.
• Automate model training, validation, deployment, and infrastructure provisioning using Python, Terraform, AWS CloudFormation, and Ansible.
• Develop and maintain CI/CD workflows using Jenkins, GitLab CI/CD, CircleCI, and GitHub Actions.
• Monitor ML environments using Prometheus, Grafana, ELK Stack, and Fluentd .
• Manage source code and collaboration using Git, GitHub, GitLab, and Bitbucket .
• Troubleshoot, optimize, and maintain ML infrastructure and deployment environments .
• Participate in technical reviews, feasibility studies, and risk assessments.
• Prepare project status reports and collaborate with stakeholders on deliverables.

Must-Have Skills

• Strong Python for automation, scripting, and ML pipeline development.
• Hands-on MLOps / ML Pipeline experience.
• Strong DevOps experience with infrastructure automation and CI/CD.
• Solid understanding of cloud infrastructure and deployment strategies .
• Strong troubleshooting and optimization skills for ML environments.
• English communication skills are mandatory.

Good to Have

• GenAI
• TFX / Metaflow
• CircleCI / GitHub Actions
• Advanced ML monitoring and observability