Machine Learning Engineer

Posted 2024-11-07

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💎 Seniority level: Junior, at least 2 years

📍 Location: Argentina

🔍 Industry: Data Intelligence

🏢 Company: Netrix Global

🗣️ Languages: English

⏳ Experience: At least 2 years

🪄 Skills: AWSPythonAgileArtificial IntelligenceGitMachine LearningPyTorchSCRUMData scienceTensorflowDevOps

Requirements:

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.

Responsibilities:

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.

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Machine Learning Engineer

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