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Ai/rpa engineer

Kaiseraugst
solvias
Inserat online seit: 10 Juni
Beschreibung

PpThe AI / RPA Engineer is responsible for delivering tangible business value through automation, AI, and advanced analytics across Solvias. /p pThis role focuses on building and deploying real use cases (not theory), improving productivity, reducing cost-to-serve, and enabling smarter decision-making across Operations, Finance, QA, and Commercial. /p pAs part of the Data AI Office, the AI/RPA Engineer works closely with the Data Administrator Lead to leverage governed data and transform it into automation and AI-driven solutions. /p pThis is a hands‑on builder role, expected to rapidly develop prototypes, scale successful solutions, and deliver measurable outcomes within short cycles. /p pSuccess is measured by business impact (efficiency, cost savings, adoption), not models or experimentation. /p ul liDesign, build, and deploy AI and RPA use cases aligned with business priorities /li liDevelop automation solutions for reporting and data processing, Lab workflows and data handling /li liDevelop automation solutions for Finance and operational processes /li liBuild AI-driven solutions (GenAI, predictive analytics, insights generation) /li liTranslate business needs into technical solutions and working products /li liRapidly develop prototypes (MVPs) and scale successful use cases into production /li liIntegrate AI/RPA solutions with core systems (ERP, LIMS, CRM, Data Platform) /li liCollaborate with the Data Administrator Lead to ensure data readiness and quality /li liIdentify opportunities to reduce manual work and improve efficiency through automation /li liEnsure solutions are secure, compliant, and scalable within a regulated environment /li liMonitor and continuously improve deployed solutions based on business feedback /li /ul ul liProven experience in AI, automation, or data-driven solution development with real business impact /li liStrong hands‑on expertise in Python or similar programming languages /li liStrong hands‑on expertise in AI/ML frameworks and GenAI tools /li liRPA platforms (Power Automate, UiPath, or similar) /li liExperience integrating solutions with enterprise systems (APIs, data pipelines) /li liAbility to build end‑to‑end solutions (from idea to production) /li liStrong understanding of business processes and automation opportunities /li liExperience in regulated environments (GxP, Pharma, ISO) is a plus /li liPragmatic mindset: focus on value delivery, not overengineering /li liStrong collaboration skills and ability to work closely with business stakeholders /li liAbility to operate in a fast‑paced, evolving environment with high accountability /li /ul /p #J-18808-Ljbffr

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