Softwareentwickler/in
Core
Develop predictive maintenance strategies and analyze technical systems to improve equipment reliability and process safety in a pharmaceutical production environment.
Role type
Reliability Engineer (Data & AI)
Builds
Sustainable maintenance concepts, optimized maintenance plans, and improvement measures for production assets.
Domain
Pharmaceutical manufacturing / Industrial maintenance
Required skills
Technical understanding, database knowledge, statistics, continuous improvement processes, IT skills, AI-driven analysis methods, quality awareness, EHS awareness, English (written and spoken)
Preferred skills
Technical degree, experience in production/process plant maintenance, pharmaceutical industry experience, GxP knowledge, reliability/risk/process analysis, Lean Six Sigma/DMAIC, project management, statistical and AI analysis tools
Technologies
Databases, statistical tools, AI-driven analysis tools
Responsibilities
Develop and implement sustainable maintenance concepts from FAT to commissioning; Optimize maintenance plans using data and AI; Analyze technical deviations, failures, and trends; Conduct equipment, risk, and lifecycle analyses; Collaborate with Production, Maintenance, Quality, and Regulatory bodies.
