GenAI & ML Engineer (AWS Cloud) — Remote

Ideamine Technologies (Acquired by Netrix Global); Buenos Aires; Presencial; ARS 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work allowed

AWS certifications

Microsoft certifications

Competitive compensation & benefits

Additional vacation

English in company

Descripción de la vacante

Netrix Global is seeking an AI & Machine Learning Engineer (AWS Cloud) to join the Data Intelligence team in Argentina. You will research, build, and improve AI/ML systems, working closely with data scientists to deploy models and maintain production workloads.

The role requires strong Python, experience with AWS SageMaker and data services, and a hands-on approach to designing scalable ML pipelines in cloud environments. Remote work is supported with occasional travel.

Formación

• Proven experience in ML engineering or data science roles.
• 2+ years of AWS cloud experience.
• Strong Python and ML library skills (TensorFlow, PyTorch).
• Proficiency with SageMaker and AWS data services: S3, Glue, Athena.
• Experience with GenAI and production deployments.
• DevOps tooling and IaC experience.
• Agile/Scrum teamwork.

Responsabilidades

• Design, build, and optimize data workflows for ML and GenAI in cloud environments.
• Develop and deploy ML and GenAI models using AWS SageMaker.
• Create and manage data/model pipelines to improve AI systems.
• Prepare and structure data for advanced AI/GenAI.
• Ensure integration within cloud architectures, including data security.
• Document and test models and workflows for accuracy and performance.
• Monitor production ML models and improve performance.
• Manage Data Lake architectures (Desirable).

Conocimientos

Machine Learning Engineer

Data Pipelines

ML Model Development

Python

Agile/Scrum

Herramientas

SageMaker

AWS S3

AWS Glue

Athena

Terraform

CloudFormation

Git

Descripción del empleo

Netrix Global is seeking an AI & Machine Learning Engineer (AWS Cloud) to join the Data Intelligence team in Argentina. You will research, build, and improve AI/ML systems, working closely with data scientists to deploy models and maintain production workloads.

The role requires strong Python, experience with AWS SageMaker and data services, and a hands-on approach to designing scalable ML pipelines in cloud environments. Remote work is supported with occasional travel.