Machine Learning Engineer

• Build and test machine learning models to support the LIFELENZ platform
• Design, build, and deploy data and machine learning pipelines on AWS
• Enable an iterative lifecycle for data products to continuously improve, integrate and deploy
• Bring data science workflows, analysis, and modeling into a healthy state of standardization, evaluation, deployment and observability in production
• Build observability and monitoring of ML models & experiments
• Work collaboratively across teams to ensure a holistic MLOps process connecting modeling with engineering standards
• Embrace a dynamic startup environment

Machine Learning Engineer

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