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Senior AI Ops/AI Platform Engineer at ADP in Barcelona: builds and scales the AI infrastructure, tooling, and deployment pipelines behind ADP's next-generation products, partnering with engineering, data science, and platform teams, with focus on AI governance, model evaluation, observability, and cost-efficient scalability.
Engineering manager at ADP in Barcelona leading Global Payroll Convergence development teams in agile two-week sprints — mentoring engineers, tracking delivery via Jira, and aligning with product, architecture, and DevOps stakeholders. Core stack: Java 11+, Spring, Hibernate/JPA, microservices, Kafka/RabbitMQ, CI/CD, cloud, and GenAI coding tools.
Senior AI Engineer at ADP in Barcelona applying machine learning and Generative AI (LLMs, RAG, NLP) to improve HCM products used by millions. Day to day: designing, building, and deploying scalable ML solutions with Python, AWS, Databricks, and MLflow in an Agile team, plus mentoring teammates.
Operate and evolve ADP's SAP platform supporting GlobalView multinational payroll and HR clients: maintain SAP Basis workloads on-prem and S/4HANA on RISE, monitor system health, tune performance, lead incident response, and manage HA/DR, security, and integrations while mentoring teams. Core tech: SAP Basis, HANA, Oracle/SQL Server, Linux, VMware.
A senior AI engineer at ADP in Barcelona builds and deploys scalable machine learning and Generative AI solutions (LLMs, RAG, NLP) to improve HCM products and business processes, working in Agile teams on ML architecture, data pipelines, and AWS-based deployment while mentoring colleagues.
ADP is hiring a Site Reliability Engineer in Barcelona to run and evolve its SAP platform supporting GlobalView multinational payroll/HR. Day to day: SAP Basis administration, HANA DB tuning, HA/DR design, RISE migration support, SSO/security hardening, incident response, and mentoring — using Linux, Oracle/SQL Server, VMware, AWS, SAP BTP, and Python/shell scripting.
Senior AI Ops Engineer at ADP's Spark team building and scaling AI infrastructure on AWS. The role involves developing CI/CD pipelines for ML systems, implementing FinOps for cost optimization, and supporting AI governance and observability using tools like SageMaker and Bedrock.
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