AI & Machine Learning Engineer – AWS Cloud

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design, construct, and optimize data workflows for Machine Learning and Generative AI solutions within cloud settings.

• Develop and implement Machine Learning and Generative AI models utilizing AWS SageMaker.

• Create and oversee data and model pipelines to enhance the efficiency of AI and machine learning systems.

• Prepare and organize data for sophisticated AI and Generative AI solutions.

• Integrate data and AI solutions into cloud architectures.

• Address aspects of data security and governance.

• Document and rigorously test models and workflows to ensure accuracy and performance.

• Monitor and improve the performance of Machine Learning models and services in production.

• Manage Data Lake architectures for workloads centered on Machine Learning and Generative AI.

• Facilitate communication among members of the Data Intelligence team, data scientists, and implementation and operations staff.

⛳️ Requirements

• Demonstrated experience as a Machine Learning Engineer or in Data Science positions.

• Strong expertise in data pipelines and development of Machine Learning models.

• A minimum of 2 years of experience working within AWS cloud environments.

• Solid command of Python programming.

• Proficiency with machine learning libraries such as TensorFlow, PyTorch, or similar tools.

• Advanced level of English language proficiency.

• Experience with Amazon SageMaker and AWS data services, including S3, AWS Glue, and Athena.

• Familiarity with Generative AI models and their deployment in production settings.

• Proficiency in DevOps tools, including Git and pipelines.

• Experience with infrastructure as code using Terraform or CloudFormation.

• Ability to work within Agile teams following Scrum methodology.

🏝️ Benefits

• Swiss Medical SMG-30 health insurance, covering family members.

• AWS certifications.

• Microsoft certifications.

• Pedidos Ya! internet and connectivity.

• Competitive salary and benefits package.

• An extra week of vacation.

• English lessons/classes provided by the company.

• Opportunity to work remotely.

• A supportive learning and development environment.

• Comprehensive group benefits for employees and their families.

• Flexible work arrangements.

• Time off as needed.

• A casual work environment.