Mid Machine Learning Engineer
RemoteColombia or Costa Rica
Colombia or Costa RicaRemoteFull TimeTechnologyMedium
Full TimeMediumTechnology
Job Summary
Build, deploy, and maintain production-grade machine learning models and pipelines using Python and AWS SageMaker. Develop scalable ML solutions while monitoring model performance and troubleshooting production environments to ensure reliability. Collaborate with cross-functional teams in an Agile setting to deliver data-driven solutions. Requires 2+ years of experience with strong Python, SQL, and Git skills, plus hands-on deployment and monitoring in enterprise environments. Preferred experience includes MLOps tools like MLflow or Airflow, Snowflake, and LLMs.
Required Qualifications
- 2+ years of experience building and maintaining production machine learning models
- Strong Python programming skills
- Hands-on experience with AWS SageMaker or another enterprise ML platform such as Vertex AI or Azure ML
- Proven experience deploying and monitoring ML models in production environments
- Advanced SQL skills
- Experience with Git and version control
- Experience working independently in production environments
- Strong understanding of production ML pipelines and deployment best practices
- Strong communication and collaboration skills
Desired Qualifications
- Experience with MLOps tools such as MLflow, Airflow, or dbt
- Experience with Snowflake
- Experience in marketing, growth, experimentation, or causal inference
- Experience with LLMs or AI agents
- Familiarity with Agile development practices
- Experience building scalable ML solutions in enterprise environments
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