Senior MLOps Platform Engineer — Build Scalable AI Infra

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

Job summary

Target is seeking a Senior Engineer to join the MLOps Platform team, designing and evolving an enterprise platform for ML/AI workflows. You will develop scalable services and APIs, partnering with Data Scientists and product teams to deliver production-grade capabilities.

Responsibilities include building platform components for model development, deployment, serving, monitoring, and governance, with strong emphasis on reliability and cost efficiency.

Qualifications

• 5+ years of professional software engineering experience.
• Strong proficiency in Java or a comparable object‑oriented programming language; Python is 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 monitoring, observability, security, and reliability of production systems.
• Ability to independently design and deliver scalable platform capabilities.
• Strong communication and collaboration skills across engineering, Data Science, product, and platform teams.

Responsibilities

• Design, build, test, and operate scalable services and capabilities 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.
• 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.
• Optimize platform 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.

Skills

Java

Python

REST APIs

Microservices

Docker

Kubernetes

CI/CD

Cloud platforms

Communication

ML lifecycle

GCP

Generative AI

Tools

Docker

Kubernetes

Git

CI/CD tooling

Job description

Target is seeking a Senior Engineer to join the MLOps Platform team, designing and evolving an enterprise platform for ML/AI workflows. You will develop scalable services and APIs, partnering with Data Scientists and product teams to deliver production-grade capabilities.

Responsibilities include building platform components for model development, deployment, serving, monitoring, and governance, with strong emphasis on reliability and cost efficiency.