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You will be updated with latest job alerts via emailAbout 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.
As a Engineer youll take the lead as you
You will build applications for Targets MLPlatform to enable capabilities to help data scientists ML engineers and Data engineers at Target . You will be part of a team building highly scalable event driven applications and leverage technologies. You understand Targets business and technical environments resolve complex challenges via technical solutions as well as be a significant code contributor manage software development cycle drive best practices and ensure development of highquality code with compliance & security standards. The Engineer is a practitioner of rapid prototyping and Agile DevOps CI/CD testdriven development and stays current with new technology to be able to assess viability and applicability to Targets business and technical environments.
Tech stack:Java SpringBoot Microservices Python Cassandra Elastic Search Postgres Kafka Docker CICD GCP cloud skills GCP Machine Learning Engineer skills GCP VertexAI skills
About you:
4 year degree or equivalent experience
1.5 years of software development experience
Experience in building applications using JVM languages like Java Kotlin
Exposure in building highperformance scalable APIs.
Good to have experience in building Python applications Fast API etc
Good to have Machine Learning Engineer skills
Having GCP cloud skills GCP Machine Learning Engineer skills GCP VertexAI skills would be added advantage
Experience in microservicesSpring Boot cloud development NoSQL databases and event driven architecture
Experience with NoSQL technologies Cassandra Elastic search MongoDB is a plus
Deep experience writing unit and functional tests and testdriven development
Experience building CI/CD pipelines
Strong problem solving and debugging skills
Full-Time