Machine Learning Data Scientist (Remote – Argentina)

About the role

We are looking for a Machine Learning Data Scientist to design, build, and maintain production‑grade ML models in a cloud environment. The role is fully remote and supports our client, one of the world’s largest job sites, in making data‑driven decisions.

Key responsibilities

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

Required profile

• 2+ years of experience building and maintaining production ML models.
• Strong knowledge of Python and advanced SQL.
• Experience with AWS SageMaker or comparable enterprise ML platforms (Vertex AI, Azure ML).
• Proven ability to deploy and monitor models in production environments.
• Comfort working independently and following Agile development practices.

Required skills

• Python
• AWS SageMaker (or Vertex AI / Azure ML)
• SQL
• Git / version control
• MLOps tools (MLflow, Airflow, dbt)
• Snowflake
• Large Language Models (LLMs) and AI agents

What we offer

• Competitive compensation based on skills and experience.
• Comprehensive private medical insurance.
• Flexible workspace – remote, office or coworking.
• Bonuses for referrals, article writing, public talks, etc.
• 15 vacation days, 10 national holidays, 10 sick leaves.
• Personalized learning program and free tech webinars.
• Fun corporate celebrations and a supportive remote culture.