Lead Machine Learning Engineer - Merchandising AI (ML Ops)

Target

Remote Hybrid Actively hiring
Remote (7000 Target Pkwy N,Ncd-0375 Brooklyn Park,Mn 55445, US) Posted 10 days ago $132,000$238,000 / year

At a glance

AI generated

TL;DR

As the Lead Machine Learning Engineer – Merchandising at Target Data Sciences, you will join a dynamic team responsible for developing and optimizing data-driven merchandising solutions. Your role involves designing, implementing, and maintaining production machine learning systems that leverage large-scale datasets to enhance decision-making processes in merchandising. You will work closely with data scientists and software engineers to develop highly performant code and APIs, ensuring seamless integration of models into existing workflows. Key responsibilities include deploying distributed ML systems on Google Cloud’s Vertex AI, adhering to CI/CD practices, and mentoring team members while establishing best engineering standards. Proficiency in Python, experience with Hadoop, Spark, Kafka, Docker, Kubernetes, and REST API design is essential for this role, which demands a deep understanding of machine learning frameworks and cloud-native development principles.

Skills

Python Google Cloud Vertex AI Kubernetes Docker CI/CD REST API Hadoop Spark Kafka ML Ops Big Data technologies Terraform PostgreSQL MLOps

What you'll do

  • Design and implement production machine learning solutions for merchandising.
  • Develop highly distributed machine learning systems at scale using Python.
  • Lead the creation of agentic AI solutions integrating data, tools, APIs, and business rules.
  • Conduct code reviews and ensure a maintainable, well-tested codebase with documentation.
  • Train teams on best practices in software design and ML operations principles.

What we're looking for

  • 5+ years of experience in end-to-end machine learning application development.
  • MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent industry experience.
  • Extensive experience with Google Cloud’s Vertex AI and cloud-based ML ecosystem.
  • Proficient in Python programming and CI/CD practices for ML systems.
  • Strong understanding of Big Data technologies like Hadoop, Spark, and Kafka.
  • Ability to collaborate with data scientists, engineers, and product managers on scalable solutions.

Employer

About Target

Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail

Target currently has 45 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 45 roles with salary data.

Most-posted roles

View all roles at Target