Senior AI/ML Engineer

Job description

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.