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Machine Learning Engineer

2 meses atrás

Belo Horizonte, Minas Gerais, Brasil Kinross Gold Corporation Tempo inteiro
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Kinross Gold Corporation. As a Machine Learning Engineer, you will be responsible for creating and communicating Machine Learning alerts for all Kinross sites related to plant and/or mobile equipment.

Key Responsibilities
  • Design and develop Machine Learning agents with company-provided software for the Machine Health Maintenance Team (MHMT) to send out to sites for early failure prevention.
  • Ensure the accuracy of the alerts and refine them as needed.
  • Track and examine historical data related to maintenance failure events, facilitating the continuous tuning of the ML software.
  • Evaluate alerts given by the ML software to ensure validity and be able to recognize when the wrong patterns need to be retuned.
  • Communicate with Kinross sites to address validated alerts.
  • Keep track of feedback and results from all alerts sent to sites.
  • Develop and optimize analysis procedures to improve alerts and analytic practices.
  • Be able to determine the best practices to keep with each individual site and team, and willing to re-evaluate and change those as the project and sites grow.
  • Regular attendance and communication required.
  • Compliance with all company policies and procedures, including but not limited to: safety, confidentiality, and environmental policies.
  • Meet or exceed established performance expectations set by Management.
  • Possession of all documents required for employment by Kinross.
Requirements
  • Bachelor's degree or similar certification in mining or maintenance fields.
  • Engineering, process optimization, and programming-adjacent degrees with experience in maintenance or mining is also suitable.
  • Experience in mining maintenance for fixed plant and/or mobile equipment.
  • Optional experience with mining solutions such as MineStar Health, Modular MineCare, Wenco Readyline, or OSI PI.
  • Certifications, courses, or experience in ML or other Artificial Intelligence solutions preferred.
  • Ability to perform and understand statistical and mathematical modeling related to ML.
  • Must be able to apply good verbal, written, and interpersonal communication skills that will facilitate efficient and professional interaction with multiple departments over mining and maintenance-related terms in English across sites globally. Fluency in Portuguese, Spanish, or French would be beneficial.