Svitla Systems Inc. is looking for a ML Data Scientist with experience building and maintaining production machine learning solutions in a cloud environment for a full-time position (40 hours per week) in Argentina. Our client is one of the world’s largest and fastest-growing job sites.

This role focuses on developing scalable ML models, collaborating with cross-functional teams, and supporting data-driven decision-making.

Requirements

- 2+ years of experience building and maintaining production machine learning models.
- Strong knowledge of Python.
- Experience with AWS SageMaker or another enterprise ML platform (e.g., Vertex AI or Azure ML) supporting production ML pipelines.
- Experience deploying and monitoring ML models in production (not only notebook-based development).
- Advanced knowledge of SQL.
- Knowledge of Git/version control.
- Experience working independently in production environments.

Nice to have

- Experience with MLOps tools (MLflow, Airflow, dbt, or similar).




- Familiarity with Snowflake.
- Familiarity with marketing, growth, experimentation, or causal inference. Experience with LLMs or AI agents.
- Understanding of Agile development practices.
- Experience building scalable ML solutions in enterprise environments. Familiarity with cloud-based ML platforms and production deployment best practices.
- Strong communication skills and ability to work with cross-functional teams.

Responsibilities

- Develop, deploy, and maintain production machine learning models. Perform exploratory data analysis and feature engineering.
- Build and improve data pipelines that support ML workflows.
- Collaborate with engineering and business stakeholders to deliver scalable ML solutions.
- Contribute to AI/LLM-based capabilities where applicable.

We offer

- US and EU projects based on

📌 ML DATA SCIENTIST (Argentina)
🏢 Svitla Systems
📍 Argentina