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- AI / ML Engineer (SME) Our enterprise clients are moving from isolated AI experiments to large-scale, business-critical AI systems. AI is no longer a research topic. It is reshaping core processes, products, and operating models across industries.This role exists to support that shift by delivering enterprise-grade AI systems that perform reliably at scale._________________________________________________________Mission You will operate as a SubjectAI / ML Engineer (SME) Our enterprise clients are moving from isolated AI experiments to large-scale, business-critical AI systems. AI is no longer a research topic. It is reshaping core processes, products, and operating models across industries.This role exists to support that shift by delivering enterprise-grade AI systems that perform reliably at scale._________________________________________________________Mission You will operate as a Subject
- Data Platform Engineer (SME) Our enterprise clients are moving from fragmented data foundations to AI-first data platforms capable of supporting large-scale, business-critical AI systems.AI performance is directly constrained by data quality, availability, governance, and latency.This role exists to build and operate the data backbone that enables reliable, scalable, and compliant AI at enterpriseData Platform Engineer (SME) Our enterprise clients are moving from fragmented data foundations to AI-first data platforms capable of supporting large-scale, business-critical AI systems.AI performance is directly constrained by data quality, availability, governance, and latency.This role exists to build and operate the data backbone that enables reliable, scalable, and compliant AI at enterprise
- Backup Engineer (IBM Spectrum Protect)Location: Geneva area, Switzerland (on-site)Engagement: Full-time, long-term assignment (service contract)Start: By January 2026 (earlier welcome)Seniority: 8+ years in enterprise backup & recoveryLanguage: French or English (team environment)The roleYou will operate and evolve a large-scale enterprise backup platform based on IBM Spectrum Protect (TSM). Your mission: ensure availability, performance and security ofBackup Engineer (IBM Spectrum Protect)Location: Geneva area, Switzerland (on-site)Engagement: Full-time, long-term assignment (service contract)Start: By January 2026 (earlier welcome)Seniority: 8+ years in enterprise backup & recoveryLanguage: French or English (team environment)The roleYou will operate and evolve a large-scale enterprise backup platform based on IBM Spectrum Protect (TSM). Your mission: ensure availability, performance and security of
- DevOps / MLOps / Orchestration (SME) Our enterprise clients are moving from isolated AI components to fully integrated AI systems embedded within core products and platforms.The challenge is no longer building models, but orchestrating, deploying, operating, and evolving AI systems reliably at scale.This role exists to bridge software engineering, DevOps, and AI operations, enabling AI systems to move from experimentation to industrial-gradeDevOps / MLOps / Orchestration (SME) Our enterprise clients are moving from isolated AI components to fully integrated AI systems embedded within core products and platforms.The challenge is no longer building models, but orchestrating, deploying, operating, and evolving AI systems reliably at scale.This role exists to bridge software engineering, DevOps, and AI operations, enabling AI systems to move from experimentation to industrial-grade
- AI Product / Platform Lead (SME) Our enterprise clients are moving from isolated AI use cases to AI-powered products and platforms that must deliver measurable business value at scale.The challenge is no longer technical feasibility, but structuring, governing, and scaling AI as a product across the organization.This role exists to turn AI capabilities into adoptable, scalable, and value-generatingAI Product / Platform Lead (SME) Our enterprise clients are moving from isolated AI use cases to AI-powered products and platforms that must deliver measurable business value at scale.The challenge is no longer technical feasibility, but structuring, governing, and scaling AI as a product across the organization.This role exists to turn AI capabilities into adoptable, scalable, and value-generating
