
Target's leadership truly empowers personal and professional growth, fostering an environment where we care, grow and win together.
Job Id: R0000385483
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
We are building Machine Learning Platform to enable MLOPs capabilities to help Data scientists and ML engineers at Target to implement ML solutions at scale. It encompasses building the Featurestore, Model ops, experimentation, iteration, monitoring, explainability, and continuous improvement of the machine learning lifecycle. You will be part of a team building scalable applications by leverage latest technologies. Connect with us if you want to join us in this exiting journey.
Roles and responsibilities:
Tech stack: GCP cloud skills, Machine learning engineer skills, Python, Microservices, API development Cassandra, Elastic Search, Postgres, Kafka, Docker, CICD, Addon (Java + Spring boot)
Required Skills:
We are proud to provide benefits that support you, your family and your future.
We bring out the best in each other every day.
We value diverse voices and approaches. We act with authenticity and respect. We create equitable experiences for all.
We build trusted relationships. We collaborate across business functions. We recognize and celebrate progress.
We do what is right for Target, our team and guests. We deliver results that matter. We continually learn by valuing progress over perfection.
We are fully invested in your personal and professional growth because our people are our power.
Target's leadership truly empowers personal and professional growth, fostering an environment where we care, grow and win together.
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