
Netlight · Berlin
About us Netlight provides a full range of premium IT-consulting services at the forefront of the digital industry and stands out for its product- and technolog...
About us
Netlight provides a full range of premium IT-consulting services at the forefront of the digital industry and stands out for its product- and technology-independent expertise in a wide range of industries and clients. We are a network organization of more than 2 000 role models making aspiring digital leaders successful in their business-critical IT projects. Netlight has been awarded several times as top employer, as well as for growth, continued profitability and engagement for diversity, equity and equality within the IT industry. Today we are growing all across Europe, currently with more than 13 active international offices.
The role
As a Senior AI/ML Consultant, you are the person clients trust to turn AI ambition into production reality. You design and build AI systems that hold up beyond the demo. Machine learning pipelines, generative AI solutions, and the technical foundations that let organisations extract real value from AI.
Our consultants bring varied paths and perspectives to this work. What unites them is a principled approach to system design, a genuine curiosity about the business problems behind each model, seeing work through from the first experiment to a system running in production. Across engagements, you may work as an ML engineer, AI architect, LLM/GenAI specialist, or a strategic advisor, often a combination of several within one engagement.
What the work looks like
Building AI systems, shaping strategy. You design, build, and operationalise AI systems across the full stack, from data pipelines and feature engineering to LLM applications, RAG pipelines, and agentic workflows. You use MLOps practices to bring models into production reliably and keep them there. And you work with clients to make the decisions that matter: build versus buy, model selection, responsible AI, and the organisational change that turns AI from a pilot into a practice.
Delivering, leading, growing. You are growing as a consultant and a leader, not just delivering on the technical side. As a senior consultant, you are expected to take ownership beyond your immediate delivery: guiding junior colleagues, contributing to engagement quality, and beginning to build the presence and trust that defines the next stage of your career. Beyond client projects, you are will to contribute to Netlight's thought leadership within Data & AI, whether through internal knowledge sharing, external publications, or coaching colleagues who are earlier in their journey.
About the role As a Data Platform & Data Architecture Consultant, you are the person clients trust to turn their data infrastructure from a bottleneck into a competitive advantage. You design data landscapes, stand up and scale cloud data platforms, and set the guardrails that let entire organisations build on data safely and efficiently. Our consultants bring varied paths and perspectives to this work. What unites them is structural thinking, a drive to understand the business context behind every technical decision, and the ability to operate across both the blueprint and the build. Across engagements, you may operate as a data architect, lead a platform build, or contribute at the strategic advisory level, often blending several of these roles within a single engagement. What the work looks like Building and operating platforms. You design, provision, and harden cloud data platforms end to end, covering storage and compute, networking, security and IAM, observability, and cost. You codify infrastructure using tools like Terraform, Pulumi, or CloudFormation and establish governance frameworks such as data catalogs, data contracts, RBAC models, and SLAs that let organisations scale data access without losing control. You build platforms that multiple teams and business domains can rely on, not just at launch, but as they grow. Shaping the data architecture. You design logical and physical data models, map data flows and lineage across systems, and make the structural decisions that determine how data is organised, integrated, and consumed. This can mean designing a target-state architecture for a client migrating from legacy systems to a modern cloud lakehouse, or defining domain boundaries and data product interfaces in a data mesh adoption. Advising and translating. You sit at the intersection of technology and business. You work with data engineers, data scientists, product owners, and senior client stakeholders to understand what they need, then turn that into platform strategy and architecture decisions. You are the person a CTO trusts to make the right call on how their data infrastructure should evolve.
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.
Les entreprises qui performent décident mieux. Depuis 2006, Ekimetrics aide les organisations à transformer leurs décisions en avantage concurrentiel durable grâce à des solutions d'IA. Notre double ambition est d'allier performance et durabilité, pour construire un leadership pérenne. Nos solutions sont une combinaison unique de People et de technologie. Notre plateforme Eki.Decisions complète l'expertise de nos équipes en marketing, efficacité commerciale et data science, pour connecter l'IA aux décisions qui structurent toute l'organisation. Avec une équipe 100% internalisée et des bureaux à Paris, Londres, New York, Hong Kong et Shanghai, nous nous engageons pour une IA responsable et frugale, pour garantir un avantage concurrentiel constant, et pour rester fidèles à nos valeurs et à notre ADN. Votre mission En tant que Senior AI & ML Engineer, vous intervenez sur des projets clients variés (retail, banque & assurance, luxe...), en régie directement au sein des équipes de nos clients ou depuis nos bureaux, en fonction des missions. Vous êtes un maillon clé entre la donnée, la technologie et les enjeux métier de nos clients, avec un rôle moteur sur le cadrage technique et l'accompagnement des profils plus juniors. * Concevoir, développer et industrialiser des solutions d'IA (machine learning, deep learning, GenAI/LLM) répondant à des problématiques métier concrètes ; * Concevoir et arbitrer les architectures data & MLOps robustes et scalables (Azure, Databricks, GCP, AWS...), en garantissant leur qualité technique ; * Assurer la mise en production, le monitoring et l'amélioration continue des modèles en environnement client ; * Encadrer et faire monter en compétences les profils plus juniors sur les projets, à travers du mentorat technique et des code reviews ; * Collaborer avec data scientists, data engineers, consultants et équipes métier pour cadrer les besoins et livrer des solutions à fort impact ; * Participer activement au cadrage technique et à l'avant-vente de nouvelles missions. Votre profil * Diplômé.e d'une école d'ingénieur, d'un master universitaire ou équivalent, avec une spécialisation en IA / Data Science ; * 4 à 6 ans d'expérience en tant qu'AI Engineer, ML Engineer ou Data Scientist avec une forte dimension engineering, idéalement acquise en conseil ou en régie ; * Maîtrise de Python et des frameworks ML/DL (scikit-learn, PyTorch, TensorFlow, Hugging Face) ; * Expérience sur au moins un cloud provider (Azure, GCP ou AWS) et les outils MLOps (Databricks, MLflow, Airflow, Docker, Kubernetes...) ; * Bonnes pratiques de software engineering : versioning, tests, CI/CD, code review ; * Une expérience sur les technologies GenAI/LLM (RAG, fine-tuning, agents) est un vrai plus ; * Une appétence pour le mentorat et l'encadrement technique d'équipes projet ; * Aisance relationnelle avec les clients, capacité à vulgariser des sujets techniques et goût pour le mode conseil ; * Curiosité, autonomie, esprit d'équipe et envie d'avoir un impact concret ; * Anglais professionnel. Pourquoi nous rejoindre ? Chez Ekimetrics, vos idées comptent vraiment et vous appartiennent : à vous de leur donner vie. Nous cultivons un esprit entrepreneurial qui vous encourage à repousser les limites pour créer un impact significatif. Mais il ne s'agit pas seulement de réussites individuelles : nous avançons ensemble, en nous enrichissant mutuellement. Ensemble, nous apprenons et progressons en continu, que ce soit à travers des parcours de carrière personnalisés, des projets stimulants, du mentorat, ou simplement grâce à la diversité des perspectives que chacun.e apporte. Et surtout, nous croyons au plaisir dans le travail. Ekimetrics est un environnement stimulant et bienveillant, où chacun.e peut s'épanouir en étant pleinement soi-même. En 2023, Ekimetrics a obtenu le statut d'entreprise à mission qui témoigne de notre ambition forte en matière de RSE. Notre raison d'être : Faire de la data science et de l'intelligence artificielle l'accélérateur de la transformation durable des organisations. Ekimetrics fait partie du classement French Tech 120 ! Nous avons été sélectionnés par La French Tech pour rejoindre le prestigieux groupe des 120 scale-ups françaises les plus performantes, avec un fort potentiel pour devenir des leaders internationaux. Vous aurez accès : * A un package salarial compris entre 59 K€ et 68 K€ + prime d'intéressement ; * Au catalogue de formation Eki.Academy qui contient des programmes qui vous feront monter en compétences sur nos solutions et nos métiers, des parcours apprenants sur notre plateforme digitale ainsi que des programmes dédiés à nos enjeux prioritaires, dont la sensibilisation aux sujets environnementaux avec la Climate School ; * A une vie sportive, artistique, musicale, ludique, caritative et engagée : de notre salle de sport privatisée à nos expositions d'art, en passant par des jeux vidéo et des concerts, ou encore les défis RSE sur la plateforme Vendredi. Toutes ces initiatives sont portées par nos Eki.People ; * De nombreux évènements et séminaires pour rester proche de votre communauté ; * Des locaux chaleureux dans un quartier dynamique au cœur de Paris (Grands boulevards) ; * Une politique de télétravail flexible, avec 3 jours de présence obligatoire par tranche de 15 jours. En tant qu'employeur, Ekimetrics offre à tous les mêmes opportunités d'accès à l'emploi sans distinction de genre, ethnicité, religion, orientation sexuelle, statut social, handicap et d'âge. Ekimetrics veille à développer un environnement de travail inclusif qui reflète la diversité dans ses équipes.