Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Developing high-impact ML model pipelines to improve marketing performance and deliver customer value, with an accent on robust model architectures and MLOps practices. Focus on optimizing model cost and performance, automating training workflows, and ensuring compliance with data security requirements.

Location: Mexico City

Company

hirify.global is the Customer Company, inspiring the future of business with AI + Data + CRM and pioneering the next frontier of enterprise AI with AgentForce.

What you will do

• Define and drive the technical ML strategy.
• Own the ML lifecycle, including model governance and incident response.
• Establish and enforce engineering standards for model deployment and code quality.
• Implement infrastructure-as-code, CI/CD pipelines, and ML automation.
• Design and implement monitoring solutions for model performance and data quality.
• Collaborate with Data Science, Data Engineering, and Product Management teams.

Requirements

• MS or PhD in Computer Science, AI/ML, Software Engineering, or related field.
• 8+ years of experience building and deploying ML model pipelines at scale.
• Expert-level knowledge of AWS services, particularly SageMaker.
• Deep expertise in containerization and workflow orchestration (e.g., Docker, Apache Airflow).
• Advanced Python programming with expertise in ML frameworks (TensorFlow, PyTorch).
• Proven experience implementing end-to-end MLOps practices including CI/CD and model monitoring.