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package delivery · logistics

AI/ML Engineer- MLOps (Chennai)

ChennaiPosted 1 month ago
Software engineeringSeniorFull Time; Regular
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Avant de postuler un emploi, slectionnez votre langue de prfrence parmi les options disponibles en haut droite de cette page. Dcouvrez votre prochaine opportunit au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunits innovantes, dcouvrez notre culture enrichissante et travaillez avec des quipes talentueuses qui vous poussent vous dvelopper chaque jour. Nous savons ce quil faut faire pour diriger UPS vers l'avenir : des personnes passionnes dotes dune combinaison unique de comptences. Si vous avez les qualits, de la motivation, de l'autonomie ou le leadership pour diriger des quipes, il existe des postes adapts vos aspirations et vos comptences d'aujourd'hui et de demain. Fiche De Poste About Machine Learning Engineering at UPS Technology: Were the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done our creative 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 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 MLOp .

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