AI Infrastructure Engineer

Há 3 dias

Curitiba, Paraná, Brasil beBeeMachining Tempo inteiro R$1.800.000 - R$2.000.000
Machine Learning Engineering Specialist

Transform the future of payments with clarity and ambition, driving real-world impact. You'll expand access to payments and technology in dynamic markets.

We build with purpose, move with speed, and create innovative solutions that are inclusive. Our data team turns information into intelligence by modeling, organizing, and analyzing data to generate strategic insights.

  • Owning system architecture design for training, retraining, developing, monitoring, and exposing machine learning models.
  • Designing, developing, and maintaining scalable infrastructure for ml pipelines and apis.
  • Implementing and managing ci/cd pipelines for ml model deployment, updates, and continuous monitoring.
  • Collaborating closely with data scientists, software engineers, and cross-functional teams to ensure seamless integration of ml models into production.
  • Ensuring compliance with security and privacy requirements, particularly in a financial context.
  • Troubleshooting and optimizing ml production systems, ensuring performance, reliability, and scalability.
  • Sharing knowledge, mentoring, and supporting team members in best practices for mlops, api development, and productionization of machine learning models.

Must-haves to shine in this role:

  • Experience in mlops, devops, or related roles.
  • Strong experience with cloud platforms (aws, gcp, azure).
  • Proficiency in containerization tools like docker and orchestration systems (e.g. kubernetes).
  • Familiarity with ml frameworks (e.g. tensorflow, pytorch, scikit-learn).
  • Strong python skills with experience in writing clean, efficient, and maintainable code.
  • Experience with ci/cd tools (e.g. jenkins, gitlab ci, github actions).
  • Knowledge of data pipelines and etl processes (streaming and batch).
  • Experience in monitoring, logging, and alerting solutions for ml services (e.g. prometheus, grafana, datadog).
  • Understanding of security and compliance standards.

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