Machine Learning Engineer

November 2

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Netrix Global

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IT Strategy • Data & AI • Cloud Infrastructure • IT Service Management • Application Development

501 - 1000

Description

• The Machine Learning Engineer acts as a critical member of the data science team. • Tasks involve researching, building, and designing artificial intelligence for machine learning. • Maintain and improve existing artificial intelligence systems. • Communicate between data scientists and those who run AI systems. • 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 for efficiency. • Prepare and structure data for advanced AI and GenAI solutions. • Ensure seamless integration of data and AI solutions within cloud architectures. • Document and test models and workflows to meet requirements.

Requirements

• 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

• Swiss Medical: SMG-30 (family members included). • AWS certifications. • 99% discount in Mercado Pago payments. • Internet and connectivity. • Competitive salary and benefits. • English in company. • Ability to work remotely. • An awesome learning environment for you to develop.