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Sr. Manager Data & AI Tech AI/ML

dsm-firmenich

dsm-firmenich

Droguería, perfumería, farmacia

08036 Barcelona, Cataluña - Spanien

Manager / Gestor de equipos

Experteer Overview

As an AI/ML Platform Tech Lead, you will design, build, and scale cloud-native AI/ML infrastructure to support model training, deployment, and inference. You will guide cross-functional teams to deliver robust, cost-efficient, production-ready solutions, focusing on Kubernetes-based deployments and scalable pipelines. You’ll shape agentic AI workflows and drive MLOps practices to ensure reliability, observability, and governance. This role offers enterprise-wide influence across data models and analytics, with a mission to enable meaningful AI-driven business outcomes. You will work in a collaborative, ethical culture that values innovation and growth, and you’ll have the opportunity to make

Compensaciones / Beneficios

  • Enterprise-wide influence
  • Innovation with purpose
  • Collaborative ecosystem
  • Culture of trust and ethics
  • Learning and growth opportunities
  • Cross-border mobility across businesses

Responsabilidades

  • Design and implement cloud-based AI/ML platforms (Azure or AWS) for scale
  • Architect end-to-end ML pipelines (ingestion, preprocessing, training, validation, deployment)
  • Develop agentic AI frameworks and workflows for autonomous decision-making
  • Lead DevOps/MLOps practices, including CI/CD, monitoring, and rollback strategies
  • Manage Kubernetes-based deployments for high availability, scalability, and security
  • Define cost-optimization strategies for compute, storage, and model serving
  • Collaborate with data scientists, engineers, and stakeholders to translate requirements into scalable solutions
  • Provide technical leadership, mentorship, and architectural guidance to teams

Requisitos principales

  • 7+ years in software engineering, DevOps, or platform engineering with cloud-native focus (AWS or Azure)
  • Proven experience in AI/ML infrastructure for training and large-scale inference
  • Strong Kubernetes and containerized workloads experience in production
  • Experience building and maintaining CI/CD pipelines for ML/AI systems
  • Knowledge of agentic AI concepts and practical implementation
  • Cost management and optimization in cloud environments
  • Excellent problem-solving, leadership, and communication skills

Descripción del puesto

As an AI/ML Platform Tech Lead, you will design, build, and scale cloud-native AI/ML infrastructure to support model training, deployment, a…
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