Production ML Data Scientist - Remote, Growth & Mastery

Svitla Systems, Inc.; Argentina; Híbrido; ARS 1.200.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work flexibility

Office or coworking options

Bonuses for referrals

Professional learning program

Tech webinars and meetups

Descripción de la vacante

Svitla Systems Inc. is seeking a Machine Learning Data Scientist for a full-time role in Argentina. You will develop scalable ML models in a cloud environment, deploy them into production, and collaborate with cross-functional teams to support data-driven decisions.

Responsibilities include building data pipelines, performing exploratory data analysis, and advancing AI capabilities within enterprise platforms. 2+ years of production ML experience and strong Python/SQL skills are preferred.

Formación

• 2+ years of experience building and maintaining production ML 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.
• Advanced knowledge of SQL.
• Knowledge of Git/version control.
• Experience working independently in production environments.

Responsabilidades

• 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.

Conocimientos

Python

SQL

Git/version control

2+ years production ML

Independent work

Communication skills

Herramientas

AWS SageMaker

Snowflake

Descripción del empleo

Svitla Systems Inc. is seeking a Machine Learning Data Scientist for a full-time role in Argentina. You will develop scalable ML models in a cloud environment, deploy them into production, and collaborate with cross-functional teams to support data-driven decisions.

Responsibilities include building data pipelines, performing exploratory data analysis, and advancing AI capabilities within enterprise platforms. 2+ years of production ML experience and strong Python/SQL skills are preferred.