Mid Machine Learning Engineer

About the role

We are looking for a Mid Machine Learning Engineer to design, build, and operate production‑grade ML models and pipelines. The role is fully remote and supports customers across Costa Rica, Peru, Colombia and Bolivia. You will work in an Agile environment alongside data scientists, product owners and DevOps teams.

Key responsibilities

• Develop, deploy and maintain scalable machine‑learning models using Python and cloud platforms such as AWS SageMaker.
• Build end‑to‑end ML pipelines, including data preprocessing, feature engineering, model training and automated deployment.
• Monitor model performance in production, troubleshoot issues and implement model‑drift mitigation strategies.
• Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions.
• Maintain version control and CI/CD processes using Git and MLOps tools.

Required profile

• 2+ years of experience delivering production ML models.
• Strong Python programming abilities.
• Hands‑on experience with AWS SageMaker or comparable enterprise ML platforms (Vertex AI, Azure ML).
• Proven track record of deploying and monitoring models in production.
• Advanced SQL skills and familiarity with Git.
• Ability to work independently and communicate effectively in an Agile setting.

Required skills

• Python
• Machine Learning
• AWS SageMaker
• SQL
• Git
• MLflow
• Airflow
• dbt
• Snowflake
• Vertex AI
• Azure ML
• LLMs
• AI agents
• Model Deployment
• Model Monitoring