> Markdown version of [/jobs/ext/1077430-ai-ml-engineer-recsys-ml-ops](https://www.wearedevelopers.com/jobs/ext/1077430-ai-ml-engineer-recsys-ml-ops). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - RecSys (ML Ops) - **Company:** Target Brands, Inc. - **Location:** Brooklyn Park, MN, United States - **Salary:** $75,400.0 - $135,700.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Java (Programming Language), Artificial Intelligence, Amazon Web Services, Program Optimization, Code Review, Linux, Junit, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Software Engineering, SQL Databases, Pytorch, Git, Pytest, Pyspark, Scikit Learn, Information Technology, Xgboost, Machine Learning Operations, Api Design, Software Version Control, Docker - **Published:** June 9, 2026 - **Apply:** https://corporate.target.com/jobs/w11/70/ai-ml-engineer-recsys-ml-ops ## About the Role * BS, MS or PhD in Computer Science, Applied Mathematics, Statistics, Physics, equivalent work or industry experience * 1 plus year of applied machine learning application development including data pipelining, model optimization, deployment/ML Ops and API design * Strong programming in Python, Java, SQL and experience with ML frameworks such as PyTorch, TensorFlow, XGBoost and sklearn * Experience with cloud ML services such as Vertex AI, Azure ML or AWS Sagemaker * Experience with containerized technologies like Docker and Kubernetes * Experience with PySpark * Experience with software design on Linux/Mac * Experience with software version control such as Git and software test coverage practices/frameworks such as PyTest or JUnit * Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives * Self-driven and results oriented; able to meet deadlines * Motivated, team player with ability to collaborate effectively across a global team, Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D ## Description As an AI Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target App. You will play a crucial role in designing, implementing, and optimizing production machine learning solutions and the platforms supporting them. We will expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will work in partnership with data scientists, engineers, and product managers to understand the business requirements and build solutions to meet business needs. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [How Unit Testing Saved My Career](https://www.wearedevelopers.com/videos/1642-how-unit-testing-saved-my-career) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From boy scouting to redrawing the landscape](https://www.wearedevelopers.com/videos/1140-from-boy-scouting-to-redrawing-the-landscape) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)