Target
Merchandising
LeadMachineLearningEngineer-MerchandisingAI(MLOps)
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“Lead Machine Learning Engineer - Merchandising AI (ML Ops) at Target. Skills: Machine Learning, ML Ops, Python, Cloud. Design production machine learning solutions. Implement production machine learning solutions”
Industry & Context.
What They're Looking For.
Must Have
4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience, MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience in applied machine learning, 5 plus years of experience in end-to-end machine learning application development, including data pipelining, model optimization, deployment and API design, Extensive experience with applied machine learning frameworks, ability to developing highly distributed machine learning systems at scale, Highly proficient in Python programming, understanding of CI/CD practices for machine learning systems, ML Ops principles, Extensive experience with Google Cloud’s Vertex AI and/or the broader cloud-based ML ecosystem, Demonstrated knowledge of various testing frameworks, containerization like Docker and Kubernetes, Lead the development of agentic AI solutions that connect data, tools, APIs and business rules into end-to-end decisioning workflows, Demonstrated experience in REST API design and development, Extensive understanding of Big Data technologies including Hadoop, Spark and Kafka, Proven ability to collaborate with data scientists, software engineers and product managers to deliver scalable machine learning solutions, Excellent communication skills with an ability to tell data-driven stories through visualizations and narratives, Ability to mentor engineers and help establish engineering standards, architecture patterns, and best practices for AI/ML and cloud-native development.
Nice to Have
MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience in applied machine learning
What You'll Do.
Design production machine learning solutions
Implement production machine learning solutions
Optimize production machine learning solutions
Understand software design
Participate in code reviews
Create maintainable codebase
Create well-tested codebase
Create relevant documentation
Conduct training sessions
Present work to peers/leaders
Build knowledge on business priorities
Leverage knowledge for requirements
Leverage knowledge for solutions
Lead development of agentic AI solutions
Build end-to-end decisioning workflows
How You'll Work.
Team & Collaboration
Collaborate with data scientists; Collaborate with software engineers; Collaborate with product managers; Present work to technical peers; Present work to non-technical peers; Present work to leaders
Communication Scope
Excellent communication skills; Tell data-driven stories; Visualizations; Narratives
Full Job Description
The pay range is $132,000.00 - $238,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at [https://corporate.target.com/careers/benefits](https://corporate.target.com/careers/benefits). **JOIN US AS A LEAD MACHINE LEARNING ENGINEER – MERCHANDISING AI** **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](https://corporate.target.com/about). A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization rely on. Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for model performance at scale. As the Lead Machine Learning Engineer – Merchandising, you will join a Data Sciences team responsible for creating and optim
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