Mein Arbeitgeber Language: English Administer and maintain Azure AI Foundry workspaces, environments, model catalogs, compute and configurations Manage lifecycle operations for LLMs, embeddings models and model deployments within the platform (excluding agent deployment) Ensure reliability, scalability, and performance of AI Foundry environments across all stages (dev/test/prod) Configure and maintain logging, tracing, telemetry and usage dashboards Monitor performance, cost, quota consumption and operational health of AI Foundry components Implement alerting and diagnostics to ensure platform stability Apply and maintain Azure RBAC, workspace governance and access policies inside the platform Ensure consistency in workspace structure, permissions and operational standards across teams Support internal teams in onboarding and safe platform usage Produce high quality documentation, runbooks, platform guides and onboarding materials Assist internal teams in using AI Foundry capabilities effectively / Provide hands-on troubleshooting and support for platform adoption Practical, hands-on experience managing Azure platforms in production environments Strong knowledge of Azure AI Foundry, Azure OpenAI, and related Azure AI/ML components Familiarity with LLM lifecycle management, platform operations, and governance Experience working autonomously within engineering or platform teams Strong communication skills and ability to assist internal teams Proven ability to produce clear and structured documentation Experience with Portkey for model routing, observability, caching, or guardrails Knowledge of Azure API Management (APIM) Understanding of other AI ecosystem tools such as Promptflow, MLflow, LangChain, or Semantic Kernel Exposure to cloud security best practices Start: April 2026 Remote work possible Ihr Kontakt Referenznummer 863216/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
Responsible for all aspects of Material Master for the global template and for MDG-M Review all Requirements for clarity and for support of harmonized approach Drive, oversee, guide and assist the technical developers Test all requirement implementations Involved in all aspects of PLM Interfaces for each of the PLM Systems With each roll out the above topics must be addressed in different ways including migration With regards to migration: manage clones, collisions, duplicates for every S4E-Unify and Agora Roll Out Provide demonstrations on MDG-M functionality, oversee the Data Quality module and its implementation relative to KPI’s and management of KPI results Bachelor’s degree in computer science, Business Management, Management Information Systems or equivalent experience Experience in business process design in material management and production planning Expert knowledge about PP, MM, MDG-M, processes and customizing in SAP S/4 HANA Experience and the ability to read ABAP code / debugging are desirable Ability to meet business requirements through the standard solution used Excellent with troubleshooting and analytical skills 10-20% business travel (international and domestic) is expected Languages: English, German (optional) Exciting Global Projects: Be part of a major international SAP S/4HANA transformation program Hybrid Work Model: Flexible working hours and remote work options depending on project needs Professional Development: Opportunity to work with cutting-edge technologies and gain experience in SAP S/4HANA, MDG-M, and PLM interfaces International Environment: Collaborate with global teams across different countries and cultures Modern Workplace: Access to Siemens Energy’s innovative and sustainable office infrastructure Networking Opportunities: Work alongside experts in energy, digitalization, and transformation Gehaltsinformationen 120000 Ihr Kontakt Ansprechpartner Julian Hientz Referenznummer 847518/1 Kontakt aufnehmen E-Mail: julian.hientz@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Therapeutic area knowledge in any of the following would be an advantage: respiratory, inflammatory, cardiovascular - metabolic, CNS, oncology. Computer skills including good knowledge of Microsoft Word, Excel and PowerPoint. Fluent language skills in English. Effective communication, organizational and problem-solving skills.