MLOps Engineer, Python, Cloud

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Develop and sustain workflows focused on model deployment, versioning, and monitoring.

• Streamline machine learning processes by implementing CI/CD methodologies.

• Collaborate with data scientists and engineers to transition models from experimentation to production.

• Oversee model performance and resolve issues within production workflows.

• Create documentation for processes and enhance the reliability of the ML infrastructure.

⛳️ Requirements

• Proven experience in deploying or managing machine learning models in a production environment.

• Proficient in Python programming.

• Familiarity with CI/CD practices, Git, and containerization using Docker.

• Experience with at least one cloud service provider: AWS, Azure, or GCP.

• Understanding of model tracking, versioning, and monitoring techniques.

• Experience with MLflow, Vertex AI, SageMaker, or similar platforms (preferred).

• Familiarity with Kubernetes or automated model retraining (preferred).

• Experience supporting LLM applications in a production setting (preferred).

🏝️ Benefits

• Flexible remote work options.