Top Tech Jobs & Startup Jobs

Lead MLOps efforts to productionize machine learning models: build containerized deployments, automate CI/CD pipelines, manage Azure-based ML lifecycle, monitor model performance and data drift, collaborate with data engineering on pipelines, and mentor junior MLOps engineers while driving engineering best practices.

Design, deploy, and operationalize machine learning models at scale. Build CI/CD pipelines, containerize models (Docker), and deploy to Azure (AKS/ACS) using Azure ML and Microsoft Fabric. Monitor model performance and data drift, collaborate with data engineering for reliable pipelines, and mentor MLOps engineers while driving engineering best practices.

Lead planning, execution and delivery of commercial digital products for LATAM. Translate business needs into technical requirements, set product strategy and roadmap, maintain backlog, drive adoption and change management, collaborate with engineering and stakeholders, and measure product value and utilization.

Lead design and delivery of digital products and analytics for public affairs and communications in Japan. Embed AI, automation, and social listening into workflows, drive adoption, manage vendors, build dashboards and research, and translate insights into measurable reputation and engagement outcomes while aligning with global standards.

Contribute to design, development, testing, deployment, and maintenance of scalable, secure cloud-native applications and APIs. Collaborate with product, data, and business teams in an Agile environment, apply DevOps/CI-CD practices, support modernization of legacy systems, troubleshoot production issues, and help incorporate data and AI capabilities into digital products to improve operational efficiency and user experience.

Design, build, deploy, and support enterprise-scale full-stack web and mobile applications. Integrate MarTech, cloud, data, and AI capabilities; contribute to platform architecture, reusable components, secure engineering practices, and agile product delivery to drive consumer engagement and business outcomes.

Lead LATAM data governance and innovation to make data trusted, connected and AI-ready. Own data quality, MDM, metadata/catalog/lineage, privacy/compliance and Responsible-AI controls. Pilot AI-ready datasets, governed self-serve, and agentic use cases. Advise stakeholders, drive adoption, grow a multidisciplinary team, and align governance across partners and global teams.

Lead product operations and delivery for LATAM digital platforms, coordinating cross-functional teams, bottlers, and technology partners. Drive governance, roadmap alignment, operational readiness, KPI reporting, risk mitigation, and scaling of regional B2B2C and consumer-facing solutions while enabling Agile ways of working and continuous improvement.

Lead PACS intelligence by defining KPIs, collecting and analyzing communications, reputation, and sustainability data, and delivering dashboards, research, and strategic recommendations to PACS and local leadership. Collaborate cross-functionally to measure campaign success, run ad hoc research, and provide actionable insights to inform communications strategy.

Design and implement scalable batch and streaming data pipelines using Spark and Scala on Microsoft Fabric/Synapse. Build JVM REST microservices, optimize Spark performance and data models, enforce engineering rigor (functional programming, SOLID), and maintain CI/CD pipelines with GitHub Actions, Maven/SBT. Collaborate in Agile teams to deliver reliable, high-performance data solutions.