Work in a team of machine learning engineers responsible for the productization of models developed by data scientists; Collaborate with data scientists, software engineers and data engineers to design scalable state-of-the-art infrastructure to serve machine learning models in production; Research and adopt the best MLOps standards to design and develop scalable end-to-end machine learning pipelines; Identify opportunities for machine learning process automation; Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring)
Requirements:
Degree in Computer Science or similar; Solid understanding of software development best practices; Experience in Python (as well as machine learning related libraries); Experience with REST API design in Python (e.g. Flask, FastAPI, Celery); Experience with machine learning model development and deployment; Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Text:
Machine Learning Engineer Work in a team of machine learning engineers responsible for the productization of models developed by data scientists; Collaborate with data scientists, software engineers and data engineers to design scalable state-of-the-art infrastructure to serve machine learning models in production; Research and adopt the best MLOps standards to design and develop scalable end-to-end machine learning pipelines; Identify opportunities for machine learning process automation; Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring) Degree in Computer Science or similar; Solid understanding of software development best practices; Experience in Python (as well as machine learning related libraries); Experience with REST API design in Python (e.g. Flask, FastAPI, Celery); Experience with machine learning model development and deployment; Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
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