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.

Time zone: US Time zones between PST and EST.

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 advanced technologies.
Competitive compensation based on skills and experience.
Comprehensive private medical insurance.
Regular performance appraisals to support y

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