Auf einen Blick
- Aufgaben: Leite innovative AI-Projekte von der Idee bis zur Umsetzung und forme die Zukunft der Technologie.
- Unternehmen: Artefact ist eine führende Strategie- und Datenberatung mit globalem Einfluss.
- Vorteile: Wettbewerbsfähiges Gehalt, Weiterbildungsmöglichkeiten und ein dynamisches Arbeitsumfeld.
- Weitere Informationen: Kulturelle Vielfalt und Möglichkeiten zur persönlichen und beruflichen Weiterentwicklung.
- Warum dieser Job: Arbeite an spannenden AI-Lösungen und beeinflusse große Unternehmen weltweit.
- Qualifikationen: 5-8 Jahre Erfahrung in AI/ML Engineering und starke Programmierkenntnisse in Python.
Das prognostizierte Gehalt liegt zwischen 75000 - 95000 € pro Jahr.
Who is Artefact?
Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI.
We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.
With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi.
Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.
- Main Responsibilities
- Own solution architecture & delivery: Define end-to-end architectures (data, ML/LLM, APIs, security), make build/buy decisions, and drive projects from Po C to production with reliability, observability, and cost in mind.
- Lead complex Po Cs & pilots: Scope, prototype, and validate AI/ML use cases (incl.
LLMs/Gen AI, RAG, fine-tuning, evaluation) and convert successful pilots into scalable products.
- Advanced programming & modeling: Build, adapt, and evaluate ML/DL/LLM models using Python (Py Torch, Tensor Flow, Hugging Face, Lang Chain/Llama Index), including prompt engineering, fine-tuning/Lo RA, vector search, and safety/guardrails.
- Cloud & MLOps/LLMOps: Design and operate solutions on Azure, GCP, or AWS (CI/CD, containers, model serving, feature stores, vector DBs, monitoring, eval pipelines).
- Client advisory & stakeholder management: Translate business goals into technical roadmaps, present to senior stakeholders, manage risks and trade-offs, and ensure measurable business impact.
- Quality, security & governance: Enforce best practices on data privacy, model risk management, responsible AI, and documentation.
- Team leadership & mentoring: Coach engineers/consultants, perform code and design reviews, and help shape delivery standards and reusable accelerators.
- Pre-sales & thought leadership: Support proposals, estimates, and statements of work; contribute to assets, talks, and publications that advance Artefact’s AI offering.
- Candidate Profile
- Engineer first, consultant second — with a builder’s mindset and a track record of shipping.
- Experience: 5–8+ years in data/ML/AI engineering or adjacent roles, including end-to-end delivery of production AI systems (not just prototypes).
- Programming: Expert Python; solid software engineering (testing, packaging, CI/CD).
- SQL required; Java/Scala/Type Script a plus.
- AI/ML: Hands-on with ML/DL and LLMs (prompting, fine-tuning/Lo RA, embeddings/RAG, evaluation & observability, guardrails).
- Cloud: Deep experience on at least one major cloud (Azure, GCP, or AWS) deploying secure, scalable services.
- MLOps/LLMOps: Containers (Docker/Kubernetes), Git, pipelines (e. g., Git Hub Actions/Cloud-native), model serving (Fast API/Torch Serve/Triton), experiment tracking, model registry, vector DBs (FAISS, Pinecone, pgvector, Open Search).
- Architecture & data: Designing data/ML platforms, APIs, microservices; familiarity with data pipelines and streaming is valued.
- Consulting skills: Requirements gathering, storytelling, senior stakeholder management, and clear documentation.
- Languages: Fluency in French and English (written & spoken).
- Work eligibility: You must be eligible to work in Switzerland.
- Nice to have Experience with responsible AI/governance frameworks, security reviews, and cost optimization.
- Domain experience in one or more industries (e. g., retail, pharma, manufacturing, finance).
- Contributions to open-source, publications, or conference talks.
- Why Join Us
Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.
Romandie Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.
Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.
Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.
- Location
- Lausanne / Geneva (Romandie)
If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.
#J-18808-Ljbffr
Senior AI Engineer / Technical Consultant Arbeitgeber: Doist
Keyfactor ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern in der Schweiz (Zürich) oder im Vereinigten Königreich (Remote) eine dynamische und unterstützende Arbeitsumgebung bietet. Mit einem starken Fokus auf Mitarbeiterentwicklung und strategischen Partnerschaften fördert das Unternehmen eine Kultur der Zusammenarbeit und Innovation, die es den Mitarbeitern ermöglicht, ihre Karriereziele zu erreichen und gleichzeitig einen bedeutenden Beitrag zum Unternehmenswachstum zu leisten.