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Netrix Global

From the very beginning, Netrix Global has been built on a foundation of technological innovation and growth. Through both organic evolution and strategic acquisitions, we’ve grown to almost 1,000 employees across 10 countries, all with the combined goal of bringing technology to the forefront of business problem-solving.We believe that authenticity drives greatness and we encourage everyone to show up each and every day as their true selves. That’s why we encourage life balance rather than work/life balance. This important distinction emphasizes alignment across all areas of our lives – personal pursuits, family responsibilities, and our careers – and it fosters an environment that removes the artificial boundary between our work and personal selves.

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Jobs at this company:

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🔥 Data Engineer
Posted 2024-12-03

📍 Argentina

🧭 Full-Time

🔍 Healthcare, manufacturing, government, education, financial services, and legal industries

  • Experience in Data Engineer role with tasks including ETL, Big Data, data ingest, and data streaming.
  • At least 2 years of experience working in Cloud environments, particularly AWS.
  • Knowledge of Python, R, or other data processing tools.
  • Intermediate or higher English level.
  • Experience using AWS Data Services like Amazon Redshift, S3, AWS Glue, Athena, Sagemaker, etc.
  • Experience with DevOps tools such as Git and pipelines.
  • Experience working in an Agile Scrum team.
  • Experience with infrastructure as code tools like Terraform or Cloudformation.

  • Identifying, creating, and preparing data for modern BI solutions.
  • Designing ETLs and ELTs for data transformations.
  • Designing and managing Datalake/Lakehouse architectures.
  • Integrating and testing BI solutions.
  • Creating and documenting tests to meet requirements.
  • Managing Data Cloud services, including data access, quality, security, and governance.
  • Managing monitoring and logs of applications and services.

AWSPythonAgileETLGitSCRUMDevOpsTerraform

Posted 2024-12-03
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🔥 Machine Learning Engineer
Posted 2024-11-07

📍 Argentina

🧭 Full-Time

🔍 Data Intelligence

  • Proven experience as a Machine Learning Engineer or in Data Science roles.
  • 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.

  • Design, build, and optimize data workflows for Machine Learning and Generative AI (GenAI) solutions in cloud environments.
  • Develop and deploy Machine Learning and GenAI models using AWS SageMaker.
  • Create and manage data and model pipelines to improve AI system efficiency.
  • Prepare data for advanced AI solutions and ensure integration within cloud architectures.
  • Document and test models and workflows to meet performance requirements.
  • Monitor and enhance the performance of Machine Learning models in production.
  • Manage Data Lake architectures tailored to Machine Learning and GenAI workloads.

AWSPythonAgileArtificial IntelligenceGitMachine LearningPyTorchSCRUMData scienceTensorflowDevOps

Posted 2024-11-07
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