Senior MLOps Platform Engineer (Remote)

Target; Brooklyn Park (MN); Hybrid; USD 98,000 - 176,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid time off

Paid holidays

Employee discount

Job summary

Target is hiring a Senior Engineer on the MLOps Platform team to design, build, and evolve an enterprise platform enabling teams to develop, deploy, and operate ML/Generative AI solutions at scale.

You will collaborate with data scientists, ML engineers, and product teams to deliver secure, reliable, and user-friendly capabilities across the AI/ML lifecycle, from experimentation to production and governance.

Qualifications

• 5+ years of professional software engineering experience building and operating production systems.
• Strong proficiency in Java; Python experience beneficial.
• Experience with REST APIs, microservices, distributed systems, SQL/NoSQL databases, Docker, Kubernetes, Git, and CI/CD.
• Experience building or supporting platforms, developer tooling, or infrastructure services.
• Understanding of the machine learning lifecycle, including experimentation, training, deployment, serving, monitoring, and model management.
• Familiarity with MLOps practices and technologies for production ML systems.
• Experience with cloud platforms; GCP preferred
• Familiarity with Generative AI technologies including LLMs, RAG, embeddings, vector databases, and AI agents.
• Experience enabling self-service developer platforms, SDKs, APIs, or tooling.
• Experience designing scalable platform capabilities.

Responsibilities

• Design, build, test, and operate scalable services for an enterprise MLOps platform.
• Build APIs, microservices, and event-driven systems that support ML and Generative AI workflows.
• Develop platform capabilities for model development, deployment, serving, monitoring, and lifecycle management.
• Enable Generative AI use cases including LLMs, RAG, embeddings, vector search, and agentic applications through reusable platform capabilities.
• Collaborate with Data Scientists, ML Engineers, product managers, and platform teams to build secure, reliable capabilities across the AI/ML lifecycle.
• Build automation and self-service experiences that improve developer and Data Scientist productivity.
• Implement observability, evaluation, governance, security, and reliability across the ML lifecycle.
• Optimize platform services for scalability, availability, performance, and cost.
• Apply strong engineering practices including automated testing, CI/CD, infrastructure automation, and operational excellence.
• Mentor other engineers through design and code reviews.

Skills

Java

Python

REST APIs

Microservices

Distributed systems

CI/CD

SQL/NoSQL

Docker

Kubernetes

Git

Cloud platforms (GCP preferred)

MLOps practices

Generative AI concepts

Tools

Docker

Kubernetes

Git

CI/CD tools

Vertex AI / Gemini Enterprise

Job description

Target is hiring a Senior Engineer on the MLOps Platform team to design, build, and evolve an enterprise platform enabling teams to develop, deploy, and operate ML/Generative AI solutions at scale.

You will collaborate with data scientists, ML engineers, and product teams to deliver secure, reliable, and user-friendly capabilities across the AI/ML lifecycle, from experimentation to production and governance.