Sr Engineer MLOps Platform

Pay is based on several factors which vary based on include labor markets and in some instancesmay include education work experience and 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 benefits for eligible team members include 401(k) employee discount short term disability long term disability paid sick leave paid national holidays and paid competitive benefits from financial and education to well-being and beyond at us:
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About the Role:
As a Senior Engineer you serve as a specialist in the engineering team that supports the product. You help develop and gain insight in the application architecture. You can distill an abstract architecture into concrete design and influence the implementation. You show expertise in applying the appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product. You have the skills to design and implement the architecture on your own but choose to influence your fellow engineers by proposing software designs providing feedback on software designs and/or implementation. You show good problem solving skills and can help the team in triaging operational issues. You leverage your expertise in eliminating repeat occurrences.

As a Sr Engineer on the MLOps Platform team you will help design build and evolve an enterpriseMLOpsplatform that enables teams to develop deploy andoperatemachine learning and Generative AI solutions at scale.

You will combine strong software engineering and platform engineering fundamentals with an understanding of ML and AI workflows. You will partner with Data Scientists ML Engineers product managers and platform teams to build secure reliable and easy-to-use capabilities across the AI/ML lifecycle.

This is a hands-on engineering role focused onbuilding platforms services and developer experiences that enable AI/ML teams to move from experimentation to production.

What You Will Do:

• Design build test andoperatescalable services and capabilities for an enterpriseMLOpsplatform.

• Build APIs microservices and event-driven systems that support ML and Generative AI workflows.

• Develop platform capabilities formodel development deployment serving monitoring and lifecycle management.

• Enable Generative AI use cases includingLLMs RAG embeddings vector search and agentic applicationsthrough reusable platform capabilities.

• Integrate with cloud AI/ML services data platforms model providers and enterprise systems.

• Build automation and self-service experiences that improve developer and Data Scientist productivity.

• Implement observability evaluation governance security and reliability capabilities across the ML lifecycle.

• Optimizeplatform services for scalability availability performance and cost.

• Apply strong engineering practices including automated testing CI/CD infrastructure automation and operational excellence.

• Collaborate across engineering Data Science product security and infrastructure teams and mentor other engineers through design and code reviews.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About You:

• 5 years of professional software engineering experiencebuilding and operating production systems.

• StrongproficiencyinJava or a comparable object-oriented programming language; experience with Python is beneficial.

• Experience withREST APIs microservices distributed systems SQL/NoSQL databases Docker Kubernetes Git and CI/CD.

• Experience building or supportingplatforms developer tooling or infrastructure services.

• Understanding ofthemachine learning lifecycle including experimentation training deployment serving monitoring and model management.

• Familiarity withMLOpspractices and technologiesforproductionML systems.

• Experience with cloud platforms;GCP preferred

• Familiarity with Generative AI technologies includingLLMs RAG embeddings vector databases and AI agents.

• Experience with monitoring observability security and reliability of production systems.

• Ability to independently design and deliver scalable platform capabilities.

• Strong communicationand collaboration skills across engineering Data Science product and platform teams.

Desired Qualifications:

• Experience building oroperatinganenterpriseMLOpsor AI platform.

• Experience with cloud ML platforms such as Gemini Enterprise Agent Platform (Vertex AI) or equivalent technologies.

• Experience with Kubernetes-based ML infrastructure and model serving.

• Experience enabling Generative AI capabilities through shared platforms or services.

• Experience designing self-service developer platforms SDKs APIs or tooling.

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Targets needs. A Hybrid/Flex for Your Day work arrangement means the team members core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually depending upon what your role team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

In compliance with state and federal laws Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process please reach out to Non-accommodation-related requests such as application follow-ups or technical issues will not be addressed through this channel.