AI & Machine Learning Engineer, AWS Cloud

Netrix Global

AI & Machine Learning Engineer developing AI and Machine Learning solutions using AWS for Netrix Global. Ensuring integration of data and AI solutions while collaborating within the Data Intelligence team.

Posted 7/22/2026full-timeRemote • 🇦🇷 ArgentinaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data workflows for Machine Learning and Generative AI solutions, with a strong focus on AWS services and data pipeline management. Proficient in deploying and monitoring Machine Learning models while ensuring data security and governance in cloud environments.

Highest-signal resume keywords

Machine Learning Model DevelopmentAWS SageMakerPython ProgrammingData Pipeline ManagementGenerative AI Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData PipelinesGenerative AIPythonTensorFlowPyTorchDevOps ToolsInfrastructure as CodeAgile MethodologyData Lake Architecture

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

AWS S3AWS GlueAWS AthenaGitTerraformCloudFormation

Industry Keywords

Cloud EnvironmentsData SecurityData GovernanceScrum

Tech Stack

Tools & technologies

AWSCloudPythonPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

Design, build, and optimize data workflows for Machine Learning and GenAI solutions in cloud environments.
Develop and deploy Machine Learning and Generative AI (GenAI) models using AWS SageMaker.
Create and manage data and model pipelines to improve the efficiency of AI and machine learning systems.
Prepare and structure data for advanced AI and GenAI solutions.
Ensure seamless integration of data and AI solutions within cloud architectures, including data security and governance aspects.
Document and rigorously test models and workflows to meet accuracy and performance requirements.
Monitor and enhance the performance of Machine Learning models and services in production.
Manage Data Lake architectures, tailoring data to the needs of Machine Learning and GenAI workloads.

Requirements

What you’ll need

Proven experience as a Machine Learning Engineer or in Data Science roles, with strong skills in data pipelines and Machine Learning model development.
Experience working in cloud environments (AWS) for at least 2 years.
Solid proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or similar.
Advanced English level.
Experience using SageMaker and other AWS data services: S3, AWS Glue, Athena.
Experience with Generative AI models and deploying them in production.
Proficiency in DevOps tools (Git, pipelines) and infrastructure as code (Terraform, CloudFormation).
Ability to work in Agile teams under Scrum methodology.

Benefits

Comp & perks

Swiss Medical: SMG-30 (family members included).
AWS certifications.
Microsoft certifications.
Pedidos Ya! Internet and connectivity.
Competitive salary and benefits.
One more week of vacation.
English in company.
Ability to work remotely.
An awesome learning environment for you to develop.