Senior AI/ML Engineer
Artefact
Senior AI/ML Engineer
Artefact
Data and AI-driven business transformation consulting
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.
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.
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).
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.
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.
Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.
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