Senior ML Engineer - Merchandising AI (ML Ops) - Remote

Target; Brooklyn Park (MN); Hybrid; USD 132,000 - 238,000; Full time

Benefits offered by this job

Remote work

Flex for Your Day

Job summary

Target is seeking a Lead Machine Learning Engineer – Merchandising AI to design and optimize production ML solutions. You will join a Data Sciences team building scalable models powering merchandising decisions, and you will mentor engineers while ensuring robust software design and documentation.

You will collaborate with data scientists, software engineers and product managers to deliver end-to-end ML capabilities across large data pipelines, emphasizing reliability, deployment, and

Qualifications

• Advanced degree in quantitative fields or equivalent experience.
• Extensive ML problem framing, data pipelining, deployment and API design.
• Experience with distributed ML systems and cloud ML platforms.

Responsibilities

• Design, implement and optimize production ML solutions for merchandising.
• Collaborate with data scientists, software engineers and product managers.
• Lead code reviews, write maintainable, well-tested code and documentation.

Skills

Python

CI/CD

MLOps

REST API

Distributed ML

Team collaboration

Education

4-year degree in Quantitative disciplines

MS in Computer Science / Applied Math / Stats

Tools

Docker

Kubernetes

Vertex AI

Hadoop

Spark

Kafka

Job description

Target is seeking a Lead Machine Learning Engineer – Merchandising AI to design and optimize production ML solutions. You will join a Data Sciences team building scalable models powering merchandising decisions, and you will mentor engineers while ensuring robust software design and documentation.

You will collaborate with data scientists, software engineers and product managers to deliver end-to-end ML capabilities across large data pipelines, emphasizing reliability, deployment, and