Job Description

Avant de postuler ? un emploi, s?lectionnez votre langue de pr?f?rence parmi les options disponibles en haut ? droite de cette page. D?couvrez votre prochaine opportunit? au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunit?s innovantes, d?couvrez notre culture enrichissante et travaillez avec des ?quipes talentueuses qui vous poussent ? vous d?velopper chaque jour. Nous savons ce qu?il faut faire pour diriger UPS vers l'avenir : des personnes passionn?es dot?es d?une combinaison unique de comp?tences. Si vous avez les qualit?s, de la motivation, de l'autonomie ou le leadership pour diriger des ?quipes, il existe des postes adapt?s ? vos aspirations et ? vos comp?tences d'aujourd'hui et de demain. Job Summary Fiche de poste : We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business. Responsibilities Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems. Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias. Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback. Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders. Optimization of the queries and pipelines. Modernization of the applications whenever required Qualifications Expertise in programming languages like Python, SQL Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems. Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.) Understanding of model evaluation metrics, model monitoring tools and practices. Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc. Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications. Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining. Bachelor?s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience in Azure MLOPS, Familiarity with Cloud Billing. Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features. Experience working in an Agile environment, understanding of Lean Agile principles. Type De Contrat en CDI Chez UPS, ?galit? des chances, traitement ?quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attach?s.