ML DATA SCIENTIST

Svitla Systems, Inc.; Argentina; Presencial; 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 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 advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote, our welcoming office or local coworking.
• Bonuses for recommendations of new employees.
• Bonuses for article writing, public talks, other activities.
• 15 vacation days, 10 national holidays, 10 sick leaves.
• Personalized learning program tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Fun corporate online\offline celebrations and activities.
• Awesome team, friendly and supportive community!