Senior/Principal Machine Learning Engineer (AI)

TL;DR

Senior/Principal Machine Learning Engineer (AI): Leading the design, development, and deployment of advanced machine learning models for production environments with an accent on optimizing models for performance, accuracy, and efficiency. Focus on integrating ML solutions seamlessly into existing applications and services, implementing best practices in ML engineering, and contributing to architectural planning for AI/ML initiatives.

Location: Argentina, Brazil, Colombia, Mexico

Company

hirify.global Software combines cutting-edge technology with a culture that values innovation, collaboration, and professional growth.

What you will do

• Lead the end-to-end design, development, and deployment of advanced machine learning models for production environments.
• Build and maintain robust data processing pipelines for training, evaluation, and inference.
• Collaborate closely with data scientists, software engineers, and product managers to define ML requirements and deliver impactful solutions.
• Optimize models for performance, accuracy, and efficiency through iterative experimentation and tuning.
• Integrate ML solutions seamlessly into existing applications and services.
• Contribute to architectural planning and strategic decision-making for AI/ML initiatives.

Requirements

• 5+ years of experience in machine learning engineering or applied AI.
• Strong proficiency in Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proven track record of building, deploying, and optimizing ML models in production environments.
• Strong understanding of data processing workflows and software engineering best practices.
• Strong knowledge of SQL database systems.
• Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines.
• Upper-Intermediate level of spoken and written English

Culture & Benefits

• Flexible schedule
• Remote work
• Active professional community
• Continuous education and growing