Senior Machine Learning Engineer
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The role
Design, build, and deploy efficient ML models to drive business impact, including multi-modal and multi-task deep learning and statistical approaches.
Train and validate models with regard to use-case complexity, performance, and robustness, and develop a deep understanding of the why behind our models and systems.
Partner with product managers, tech leads, and stakeholders to analyze problems, clarify requirements, and define the scope of the systems needed.
Collaborate with data platform teams to enable robust batch and real-time data pipelines.
Elevate ML and engineering standards through mentoring, code reviews, automated testing, and monitoring.
Requirements: MSc/PhD in CS or related field; 4+ years of ML engineering; strong Python and data engineering skills; extensive ML algorithms knowledge; experience deploying large-scale ML systems; NLP or CV experience is a plus.
Train and validate models with regard to use-case complexity, performance, and robustness, and develop a deep understanding of the why behind our models and systems.
Partner with product managers, tech leads, and stakeholders to analyze problems, clarify requirements, and define the scope of the systems needed.
Collaborate with data platform teams to enable robust batch and real-time data pipelines.
Elevate ML and engineering standards through mentoring, code reviews, automated testing, and monitoring.
Requirements: MSc/PhD in CS or related field; 4+ years of ML engineering; strong Python and data engineering skills; extensive ML algorithms knowledge; experience deploying large-scale ML systems; NLP or CV experience is a plus.
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