Lead the development and optimization of production machine learning solutions for Target's Merchandising AI, including deployment and ML Ops. This role involves designing end-to-end ML workflows, building data pipelines, deploying models and APIs at scale, and ensuring reliable production systems. You will partner with data scientists, software engineers, and product managers to deliver predictive merchandising solutions that power digital marketing, supply chain optimization, search, and personalization. The team emphasizes strong software engineering practices, code reviews, maintainable code, and thorough documentation. Qualifications include a 4-year degree in quantitative fields (MS preferred), 5+ years of end-to-end ML application development, proficiency in Python, and experience with CI/CD, ML Ops, and cloud ML ecosystems (e.g., Google Cloud Vertex AI). You should also have experience with Docker, Kubernetes, REST APIs, and Big Data technologies (Hadoop, Spark, Kafka), and demonstrated ability to collaborate across technical disciplines. This position may be remote or hybrid (Target's "Flex for Your Day") depending on needs. The core location is Brooklyn Park, Minnesota, United States. The pay range is $132,000 to $238,000, with compensation based on factors including market conditions, education, and experience.

Lead the development and optimization of production machine learning solutions for Target's Merchandising AI, including deployment and ML Ops. This role involves designing end-to-end ML workflows, building data pipelines, deploying models and APIs at scale, and ensuring reliable production systems. You will partner with data scientists, software engineers, and product managers to deliver predictive merchandising solutions that power digital marketing, supply chain optimization, search, and personalization. The team emphasizes strong software engineering practices, code reviews, maintainable code, and thorough documentation. Qualifications include a 4-year degree in quantitative fields (MS preferred), 5+ years of end-to-end ML application development, proficiency in Python, and experience with CI/CD, ML Ops, and cloud ML ecosystems (e.g., Google Cloud Vertex AI). You should also have experience with Docker, Kubernetes, REST APIs, and Big Data technologies (Hadoop, Spark, Kafka), and demonstrated ability to collaborate across technical disciplines. This position may be remote or hybrid (Target's "Flex for Your Day") depending on needs. The core location is Brooklyn Park, Minnesota, United States. The pay range is $132,000 to $238,000, with compensation based on factors including market conditions, education, and experience.