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Senior MLE Python, ML Frameworks, MLOps, Containerization, Terraform, GCP

UPS · Tiruchirappalli

📅 12/08/2026
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Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrowpeople with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: About Machine Learning Engineering at UPS Technology: Were the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done our cutting-edge culture demands yes and how We are UPS. We are the United Problem Solvers. Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems. These systems power our Smart Logistics Network, optimize UPS Airlines, and enhance Global Transportation Operations. We build scalable, production-grade ML solutions that move up to 38 million packages a day (4.7 billion annually), delivering measurable impact across the enterprise. About this Role: We are seeking passionate Senior Machine Learning Engineers to design, develop, and deploy ML models and pipelines that drive business outcomes. Youll work closely with data scientists, software engineers, and product teams to build intelligent systems that are robust, scalable, and aligned with UPSs strategic goals. You will contribute across the full ML lifecyclefrom data exploration and feature engineering to model training, evaluation, deployment, and monitoring. Youll also help shape our MLOps practices and mentor junior engineers. Key Responsibilities: - Design, deploy, and maintain production-ready ML models and pipelines for real-world applications. - Build and scale ML pipelines using Vertex .
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