Machine Learning Engineer

• Partner with stakeholders throughout the organization to identify opportunities for leveraging company data to ensure quality, scalability and efficiency of Data Science solutions
• Tune, operationalize, and deploy high quality AI/ML algorithms into Kalibri’s data platform
• Build systems that setup, generate, and organize training data for online and offline models. Design, develop, and deploy models that integrate within Kalibri’s ecosystem
• Work closely with data scientists to standardize, automate, and operate ML systems.
• Coordinate with development and product functional teams to implement models and monitor outcomes
• Maintain and expand existing AWS/Snowflake infrastructure with industry best practices, considering scalability, reliability, quality, and cost
• Develop processes and tools to continuously monitor and analyze model performance and accuracy
• Build automated quality tests and monitors that ensure availability, consistency, and accuracy
• Participate in code reviews and design sessions within an Agile process paradigm

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