Job Description

Join us in tackling one of the oil & gas industry's most critical safety challenges: monitoring of tailing ponds. We are looking for an ML researcher or engineer to build efficient, ML-based systems for identifying and flagging site composition risks. You'll collaborate with domain experts, engineers and scientists to collect and curate a novel site characterization dataset, utilizing tools spanning LLMs, OCR, and other extraction techniques, to then explore Deep Learning and Transfer Learning approaches to build predictive ML systems.

 - Dave Staszak, Lead Machine Learning Scientist, Advanced Technology

Description

About the Role

This is a paid residency that will be undertaken over a 12-month period with the potential to be hired by our client, ConeTec, afterwards (note: at the discretion of the client). The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities....

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