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The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

As a Senior Machine Learning Engineer, you will design and train ML models for logistics, manage their production deployment, and optimize their performance while collaborating with the data science team.

The Senior Software Engineer will develop and integrate LLM-powered features, build AI capabilities for logistics operations, and collaborate with Data Scientists and ML Engineers to deliver AI solutions at scale.

The role involves developing AI systems to automate workflows, closely collaborating with internal teams, and shipping durable production tools at Stord.