Senior MLOps Engineer

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.    John Deere is an equal opportunity employer, including disabled & veterans.   Primary Location: United States (US) - California  - Santa Clara   Function: Technology (CA) Title: Senior MLOps Engineer - 123779   Onsite/Remote: Onsite Position        Your Responsibilities

As a Senior MLOps Engineer for John Deere Intelligent Solutions Group  located in Santa Clara , CA , you will:   • Develop and maintain the infrastructure, workflows, and operational practices that support machine learning across the perception and autonomy stack. • Build scalable, reliable processes for moving data from collection through curation, training, evaluation, deployment, and monitoring. • Partner with perception, robotics, systems, and platform engineers to make ML development faster, more reproducible, and easier to operate in production. • Create and improve tools that help the team understand model behavior, diagnose failures, compare experiments, and track quality over time. • Support production deployment of ML capabilities by improving automation, validation, release processes, and operational visibility. • Help define and maintain practical standards for ML workflows, including data management, experiment tracking, evaluation, testing, and model lifecycle management. • Identify bottlenecks and reliability issues in existing ML and data workflows, then propose pragmatic improvements that increase team velocity and confidence. • Collaborate across teams to ensure ML systems integrate cleanly with broader robotics, cloud, data, and software infrastructure. • Contribute to a strong engineering culture through thoughtful design discussions, code reviews, documentation, and shared best practices.   VISA Sponsorship is NOT available for this position What Skills You Need

• 3+ years of professional experience building, operating, or supporting software systems used by engineering teams. • Working knowledge of machine learning workflows and the practical challenges involved in developing, evaluating, deploying, or maintaining ML-based systems. • Ability to design reliable, maintainable tools and infrastructure that improve developer productivity and system quality. • Comfort working across boundaries between software engineering, data, machine learning, cloud infrastructure, and production systems. • Strong debugging, problem-solving, and communication skills in ambiguous technical environments. • Demonstrated ability to collaborate effectively with multidisciplinary teams and drive practical improvements to shared engineering workflows. What Makes You Stand Out

• Experience supporting ML or data workflows at scale, including training, evaluation, deployment, or monitoring. • Experience optimizing and deploying trained models on compute-limited edge devices. • Familiarity with cloud infrastructure, distributed compute, containerized environments, or workflow orchestration. • Experience with data pipelines, dataset management, experiment tracking, model registries, or related ML lifecycle tools. • Background working with robotics, autonomy, perception, sensor data, or other systems that combine ML with real-world operational constraints. • Comfort improving reliability, observability, automation, and repeatability in complex engineering systems. • Experience enabling teams through internal tools, platforms, documentation,