Sr Engineer - MLOps Platform

Overview

Sr Engineer - MLOps Platform to design, build, and evolve an enterprise MLOps platform enabling teams to develop, deploy, and operate machine learning and Generative AI solutions at scale.

What you'll do

• Design, build, test, and operate scalable services and capabilities for an enterprise MLOps platform.
• Build APIs, microservices, and event-driven systems for ML and Generative AI workflows.
• Develop platform capabilities for model development, deployment, serving, monitoring, and lifecycle management.
• Enable Generative AI use cases such as LLMs, RAG, embeddings, vector search, and agentic applications via reusable platform capabilities.
• Implement observability, evaluation, governance, security, and reliability capabilities across the ML lifecycle.
• Apply engineering practices including automated testing, CI/CD, infrastructure automation, and operational excellence.
• Collaborate across teams and mentor engineers through design and code reviews.

What you'll need

• 5+ years of professional software engineering experience building and operating production systems.
• Strong proficiency in Java or a comparable object-oriented programming language; 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: experimentation, training, deployment, serving, monitoring, and model management.
• Familiarity with MLOps practices and technologies for production ML systems.
• Experience with cloud platforms; GCP preferred.

Details

• Work arrangement is Hybrid/Flex for Your Day.
• Core role is performed onsite at Target HQ MN and virtually depending on the day’s needs.
• Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed.