Lead ML Engineer, Merchandising AI (ML Ops) – Remote

Target

Brooklyn Park (MN)

Hybrid

USD 132,000 - 238,000

Full time

14 days+
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Job summary

Target is seeking a Lead Machine Learning Engineer – Merchandising AI to design and optimize production ML solutions powering merchandising decisions. You will work within a Data Sciences team to build scalable models and production pipelines.

You will mentor engineers, participate in code reviews, and help set standards for AI/ML and cloud-native development while collaborating with data scientists, software engineers and product managers to deliver impact across Digital Marketing, Supply

Qualifications

  • 4-year degree in quantitative disciplines or equivalent experience.
  • MS in CS, applied math, statistics, physics, or related field.
  • 5+ years of end-to-end ML development including data pipelines and deployment.
  • Strong Python programming and ML/ML Ops practices.

Responsibilities

  • Design and optimize production ML solutions for merchandising.
  • Collaborate with data scientists, software engineers, and product managers to deliver scalable ML solutions.
  • Lead and mentor engineers, establish coding standards, architecture patterns and best practices for AI/ML and cloud-native development.
  • Contribute to building maintainable, well-tested codebases with documentation.

Skills

Python
CI/CD
ML Ops
REST API
Docker
Kubernetes
Big Data
Communication
Mentoring
Spark

Education

Bachelor's in Quantitative field
MS in CS/Applied Math/Stats/Physics

Tools

Hadoop
Kafka

Job description

Target is seeking a Lead Machine Learning Engineer – Merchandising AI to design and optimize production ML solutions powering merchandising decisions. You will work within a Data Sciences team to build scalable models and production pipelines.

You will mentor engineers, participate in code reviews, and help set standards for AI/ML and cloud-native development while collaborating with data scientists, software engineers and product managers to deliver impact across Digital Marketing, Supply

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