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.

As a Engineer, you’ll take the lead as you…

You will build applications for Target’s 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 Target's 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 high-quality code with compliance & security standards. The Engineer is a practitioner of rapid prototyping and Agile, DevOps, CI/CD, test-driven development and stays current with new technology to be able to assess viability and applicability to Target's 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 high-performance 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 microservices, Spring 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 test-driven development

• Experience building CI/CD pipelines

• Strong problem solving and debugging skills