Senior AI/ML Engineer

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. What you will be doing? We are looking for a Senior AI Engineer / Technical Consultant to bridge the gap between high-level strategy and technical execution. You will act as a "builder first, consultant second," designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems. Key Responsibilities - Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs. - Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices. - Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability. - Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines. - Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives. - Mentorship: Lead project workstreams and mentor junior engineers on technical best practices, MLOps, and coding standards. Technical Requirements - Experience: 5+ years in Software Engineering, Data Science, or AI/ML development. - Core Programming: Mastery of Python and SQL; familiarity with other languages (Java, C++, or Node.js) is a plus. - AI/ML Frameworks: Deep experience with TensorFlow, PyTorch, or HuggingFace. - Generative AI: Hands-on experience with LLMs, prompt engineering, fine-tuning, and vector embeddings. - Cloud Platforms: Proven experience deploying AI solutions on AWS, GCP, or Azure. - Tools & DevOps: Proficiency with Git, Docker, Kubernetes, and MLOps principles (CI/CD for machine learning). - Data Engineering: Ability to build and manage ETL/ELT pipelines and work with various database schemas (SQL, NoSQL, Graph). Qualifications & Soft Skills - Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related STEM field. - Communication: Fluency in English and the local regional language (German or French). Ability to explain complex technical concepts to non-technical business leaders. - Mindset: A "builder’s mindset" with the agility to work in a fast-paced, client-facing consulting environment. - Consulting Experience: Prior experience in a professional services or consulting firm is highly preferred. What to Expect - Impactful work on global accounts (e.g., Warner Bros, Orange, L'Oréal). - A collaborative "scale-up" environment with a heavy focus on continuous learning and a dedicated training budget. - Opportunity to lead high-visibility projects within the first year.