Principal Machine Learning Engineer (LATAM, Remote)

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Requirements:

• Bachelor's degree in Computer Science, Engineering, Machine Learning, Statistics, Physics, or a relevant field.
• At least 6+ years of experience in machine learning engineering.
• Deep expertise in machine learning, recommendation systems, or artificial intelligence.
• Proficiency in Python; Golang experience is a plus.
• Demonstrated technical leadership and project ownership.
• Experience with relational databases and proficiency in SQL.
• Familiarity with AWS cloud services for ML solutions.
• Knowledge of Kubernetes, Docker, and CI/CD pipelines.
• Comfortable with monitoring tools for ML models and data processing frameworks.

Responsibilities:

• Lead the design and development of scalable ML infrastructure on AWS.
• Collaborate with product teams to develop MVPs for AI-driven features.
• Create and enhance monitoring and alerting systems for ML models.
• Enable various departments to leverage AI/ML models for different use cases.
• Provide expertise in debugging ML models in production, participate in on-call support.
• Design and scale ML architecture to support user growth.
• Mentor team members through code reviews and knowledge sharing.
• Stay updated with advancements in ML technologies and AWS.