Senior Machine Learning Engineer

November 28

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Description

β€’ Develop, deploy, and maintain machine learning models and pipelines in production environments. β€’ Work closely with data scientists, data engineers, and application engineers to integrate ML models into the broader SmarterDx platform. β€’ Craft, implement, and maintain MLOps tools and practices, including continuous integration, delivery, and monitoring of machine learning systems. β€’ Optimize model performance and scalability, ensuring high reliability and efficiency. β€’ Build tools to improve the lives of our data scientists. β€’ Contribute to the design and architecture of our ML systems.

Requirements

β€’ 5+ years of experience in machine learning engineering or MLOps roles. β€’ Strong proficiency in Python and SQL, with experience in machine learning libraries (e.g., scikit-learn, PyTorch) and data manipulation (e.g., pandas, SQL). β€’ Experience with deploying and managing ML models in production environments, including familiarity with Docker, Kubernetes, or similar technologies. β€’ Understanding of CI/CD best practices for machine learning, including automated testing and deployment pipelines. β€’ Experience with cloud platforms (preferably AWS) and their machine learning services. β€’ Familiarity with infrastructure as code (e.g., CDK, Terraform) and configuration management tools. β€’ Strong understanding of data engineering and architecture principles. β€’ Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.

Benefits

β€’ Medical/dental/vision benefits β€’ 401k β€’ Free One Medical membership β€’ Parental leave β€’ Remote first β€’ Minimal bureaucracy β€’ Incredible teammates!

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