Full-Time Machine Learning Engineer

About The Opportunity Netrix Global seeks a Machine Learning Engineer for the Professional Services – Data Intelligence team.

About The Team Remote, collaborative environment with opportunities for skill expansion.

How You Will Make An Impact

• Design, build, and optimize data workflows for Machine Learning and Generative AI solutions in cloud environments.
• Develop and deploy Machine Learning and Generative AI models using AWS SageMaker.
• Create and manage data and model pipelines to enhance AI and machine learning systems.
• Prepare and structure data for advanced AI and Generative AI solutions.
• Ensure seamless integration of data and AI solutions within cloud architectures, including data security and governance.
• 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 Generative AI workloads.

What You Will Bring To The Table

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

Location Argentina

Shift 9 a.m. to 6 p.m., Monday to Friday

What We Offer

• Swiss Medical: SMG-30 (family members included)
• AWS certifications
• 99% discount in Mercado Pago payments
• Internet and connectivity
• Competitive salary and benefits
• English-speaking company environment
• Remote work ability
• Excellent learning environment

Employment Type Full-time

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