Machine Learning Architect (AI)

Location: Argentina; 100% remote work. The role may require up to 25% travel depending on business needs. Current legal authorization to work in Argentina is required; visa or work permit sponsorship is not available.

Company

hirify.global is an AI-first cloud services company and AWS Premier Tier Services Partner that helps organizations modernize technology, build intelligent products, and bring AI solutions into production.

What you will do

• Lead requirements gathering, backlog grooming, architecture discussions, and Agile ceremonies.
• Translate customer requirements into actionable engineering tickets and coordinate their delivery.
• Design and deliver cloud-native machine learning applications on AWS.
• Apply DevOps practices covering build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot customer development, test, and production environments and automate testing across multiple levels.
• Write production-quality code with unit and integration tests, document designs, and coach less experienced engineers.

Requirements

• Experience addressing client questions, identifying requirements gaps, and delivering actionable solutions.
• Strong collaboration and communication skills, including explaining complex technical concepts to non-technical audiences.
• Experience with Infrastructure as Code tools such as CloudFormation, CDK, and Terraform.
• Expert-level experience with Amazon SageMaker and machine learning libraries including TensorFlow, MXNet, PyTorch, and Scikit-learn.
• Strong understanding of feature engineering, hyperparameter tuning, and optimization strategies.
• Familiarity with MLOps tools such as MLflow, Neptune, and Comet.

Culture & Benefits

• 100% remote work with a worldwide team.
• Pay in USD, generous holidays, and flexible PTO.
• Competitive phantom equity and peer bonus awards.
• Paid exams and certifications, an individual professional development plan, and an annual learning and development stipend.
• State-of-the-art laptop, tools, equipment, and office stipend.

Hiring process

• Applications may be supported by AI or automated screening and evaluation tools, with final decisions made by recruitment professionals.