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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied Machine Learning Scientist - AI Agents - **Company:** Zoro Tools, Inc. - **Location:** Lake Forest, IL, United States (Remote available) - **Experience:** Starter - **Salary:** $102,300.0 - $170,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Machine Learning, Tensorflow, Software Engineering, Pytorch, Large Language Models, Deep Learning, Generative AI, Build Management, Containerization, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations, Software Version Control, Software Library, Docker - **Published:** May 15, 2026 - **Apply:** https://jobs.localjobnetwork.com/job/detail/87178519/Applied-Machine-Learning-Scientist-AI-Agents ## About the Role * A Bachelor's degree in applied mathematics, Physics, Engineering, Computer Science, Electrical Engineering, Economics, or 2 years of related industry work experience * 1 year minimum of industry experience in Machine Learning/ GenAi * Experience with deep learning frameworks such as PyTorch, Tensorflow, Huggingface * Experience working with Generative AI or ML solutions such as finetuning, training, testing, validating. * Experience deploying ML models using containerization and container orchestration technologies such as Docker and Kubernetes * Ability to effectively communicate technical solutions to technical and business audiences, both verbally and in writing * Experience with cloud providers such as AWS and Azure Preferred: * Advanced degree (PhD or Master's) in Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering, Economics, or related fields. * Experience model quantization and deployment on model servers such as Triton * Experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support, etc.) * Familiarity with machine learning libraries like LangChain, LlamaIndex, Autogen or Crew.ai * Experience deploying models into the cloud with tooling like Docker & Kubernetes ## Description As an Applied Machine Learning Scientist, you'll partner closely with Product and Engineering teams to design, develop, and deploy ML-powered systems that strengthen Grainger's customer relationships. This role is ideal for someone with foundational AI/ML experience who's eager to work on real-world GenAI applications, including document intelligence, voice-based systems, retrieval-augmented generation (RAG), and agentic AI solutions. You will report to Sr Manager, Applied Machine Learning and although a Chicago based position is preferred (8 days a month in office), we will consider highly qualified remote candidates who can visit the Chicago office for initial onboarding and quarterly meetings. You Will: * Design and Build: Develop scalable, high-performance ML components that power end-to-end generative and agentic workflows-such as knowledge curation, search, context management, and workflow orchestration. * Apply Advanced Techniques: Work with Deep Learning, LLMs, VLMs, fine-tuning, and prompt optimization to enhance how Grainger manages and leverages complex content. * Collaborate Cross-Functionally: Partner with Product, Engineering, and Business teams to align ML initiatives with Grainger's customer-focused strategy. * Drive ML Excellence: Contribute to best practices in model deployment, testing, CI/CD, and monitoring, ensuring robust, maintainable, and ethical AI solutions. * Own the Lifecycle: Support the full ML lifecycle-from prototyping and deployment to evaluation, monitoring, and iterative improvement. * Learn and Evolve: Stay current with emerging ML trends and research, introducing innovative techniques to improve performance and impact. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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