Descrição da vaga
<h2 data-start="107" data-end="126">Who is Artefact?</h2>
<p data-start="127" data-end="406">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.</p>
<p data-start="408" data-end="795">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.</p>
<h2 data-start="797" data-end="821">Main Responsibilities</h2>
<p data-start="822" data-end="1096">As a <strong data-start="827" data-end="879">Senior Technical Consultant / Senior AI Engineer</strong>, you will lead the design and delivery of impactful AI and data solutions. You’ll combine hands-on engineering with client advisory, guiding multi-disciplinary teams from opportunity framing to production deployment.</p>
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<p data-start="1100" data-end="1326"><strong data-start="1100" data-end="1141">Own solution architecture & delivery:</strong> Define end-to-end architectures (data, ML/LLM, APIs, security), make build/buy decisions, and drive projects from PoC to production with reliability, observability, and cost in mind.</p>
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<p data-start="1329" data-end="1512"><strong data-start="1329" data-end="1360">Lead complex PoCs & pilots:</strong> Scope, prototype, and validate AI/ML use cases (incl. LLMs/GenAI, RAG, fine-tuning, evaluation) and convert successful pilots into scalable products.</p>
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<p data-start="1515" data-end="1754"><strong data-start="1515" data-end="1551">Advanced programming & modeling:</strong> Build, adapt, and evaluate ML/DL/LLM models using Python (PyTorch, TensorFlow, HuggingFace, LangChain/LlamaIndex), including prompt engineering, fine-tuning/LoRA, vector search, and safety/guardrails.</p>
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<p data-start="1757" data-end="1927"><strong data-start="1757" data-end="1782">Cloud & MLOps/LLMOps:</strong> Design and operate solutions on Azure, GCP, or AWS (CI/CD, containers, model serving, feature stores, vector DBs, monitoring, eval pipelines).</p>
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<p data-start="1930" data-end="2127"><strong data-start="1930" data-end="1975">Client advisory & stakeholder management:</strong> Translate business goals into technical roadmaps, present to senior stakeholders, manage risks and trade-offs, and ensure measurable business impact.</p>
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<p data-start="2130" data-end="2265"><strong data-start="2130" data-end="2165">Quality, security & governance:</strong> Enforce best practices on data privacy, model risk management, responsible AI, and documentation.</p>
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<p data-start="2268" data-end="2425"><strong data-start="2268" data-end="2300">Team leadership & mentoring:</strong> Coach engineers/consultants, perform code and design reviews, and help shape delivery standards and reusable accelerators.</p>
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<p data-start="2428" data-end="2600"><strong data-start="2428" data-end="2463">Pre-sales & thought leadership:</strong> Support proposals, estimates, and statements of work; contribute to assets, talks, and publications that advance Artefact’s AI offering.</p>
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</ul>
<h2 data-start="2602" data-end="2622">Candidate Profile</h2>
<p data-start="2623" data-end="2715">Engineer first, consultant second — with a builder’s mindset and a track record of shipping.</p>
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<p data-start="2719" data-end="2874"><strong data-start="2719" data-end="2734">Experience:</strong> 5–8+ years in data/ML/AI engineering or adjacent roles, including <strong data-start="2801" data-end="2849">end-to-end delivery of production AI systems</strong> (not just prototypes).</p>
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<p data-start="2877" data-end="3010"><strong data-start="2877" data-end="2893">Programming:</strong> Expert Python; solid software engineering (testing, packaging, CI/CD). SQL required; Java/Scala/TypeScript a plus.</p>
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<p data-start="3013" data-end="3145"><strong data-start="3013" data-end="3023">AI/ML:</strong> Hands-on with ML/DL and <strong data-start="3048" data-end="3056">LLMs</strong> (prompting, fine-tuning/LoRA, embeddings/RAG, evaluation & observability, guardrails).</p>
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<p data-start="3148" data-end="3266"><strong data-start="3148" data-end="3158">Cloud:</strong> Deep experience on <strong data-start="3178" data-end="3194">at least one</strong> major cloud (Azure, GCP, or AWS) deploying secure, scalable services.</p>
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<p data-start="3269" data-end="3504"><strong data-start="3269" data-end="3286">MLOps/LLMOps:</strong> Containers (Docker/Kubernetes), Git, pipelines (e.g., GitHub Actions/Cloud-native), model serving (FastAPI/TorchServe/Triton), experiment tracking, model registry, vector DBs (FAISS, Pinecone, pgvector, OpenSearch).</p>
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<p data-start="3507" data-end="3640"><strong data-start="3507" data-end="3531">Architecture & data:</strong> Designing data/ML platforms, APIs, microservices; familiarity with data pipelines and streaming is valued.</p>
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<p data-start="3643" data-end="3761"><strong data-start="3643" data-end="3665">Consulting skills:</strong> Requirements gathering, storytelling, senior stakeholder management, and clear documentation.</p>
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<p data-start="3764" data-end="3876"><strong data-start="3764" data-end="3778">Languages:</strong> <strong data-start="3779" data-end="3812">Fluency in French and English</strong> (written & spoken) is mandatory.</p>
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<p data-start="3879" data-end="3945"><strong data-start="3879" data-end="3900">Work eligibility:</strong> You must be eligible to work in Switzerland.</p>
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<p data-start="3947" data-end="3963"><strong data-start="3947" data-end="3963">Nice to have</strong></p>
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<p data-start="3966" data-end="4062">Experience with responsible AI/governance frameworks, security reviews, and cost optimization.</p>
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<p data-start="4065" data-end="4158">Domain experience in one or more industries (e.g., retail, pharma, manufacturing, finance).</p>
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<p data-start="4161" data-end="4225">Contributions to open-source, publications, or conference talks.</p>
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<h2 data-start="4227" data-end="4241">Why Join Us</h2>
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<p data-start="4244" data-end="4359"><strong data-start="4244" data-end="4274">Strategy with a Data Edge:</strong> Operate at the intersection of boardroom strategy and cutting-edge AI engineering.</p>
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<p data-start="4362" data-end="4494"><strong data-start="4362" data-end="4389">Romandie Office Impact:</strong> High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.</p>
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<p data-start="4497" data-end="4630"><strong data-start="4497" data-end="4519">Learning & Growth:</strong> Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.</p>
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<p data-start="4633" data-end="4752"><strong data-start="4633" data-end="4654">Culture of Doers:</strong> Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.</p>
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<p data-start="4754" data-end="4796"><strong data-start="4754" data-end="4767">Location:</strong> Lausanne / Geneva (Romandie)</p>
<p data-start="4798" data-end="4942" data-is-last-node="" data-is-only-node="">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.</p>