AI Tech Lead

Das ist der Job

Lead the selection and implementation of tools, frameworks, and technologies for AI/ML model and system development.

Darum lohnt es sich

One of our clients, a leading international organization based in Geneva, is looking for an experienced AI Tech Lead to drive the design, architecture, and deployment of advanced Artificial Intelligence and Machine Learning solutions.

Collaborate with product owners, data scientists, software engineers, and DevOps teams to integrate AI models into production environments. Provide technical leadership, mentorship, and guidance to engineering teams.

Familiarity with deep learning architectures such as: CNNs RNNs Transformers Good knowledge of modern AI concepts including: Retrieval-Augmented Generation (RAG) Agentic AI Model Context Protocols (MCPs) Expertise in containerization and Kubernetes for scalable AI deployments.

This strategic role involves transforming complex business and operational challenges into scalable, production-ready AI systems while ensuring high standards in security, data governance, ethical AI, and operational resilience.

Reporting to the Data & AI Technology Manager , the AI Tech Lead will play a key role in accelerating the organization’s AI transformation and enabling innovation through cutting-edge technologies. Key Responsibilities Design and architect scalable end-to-end AI/ML solutions aligned with business objectives and technical requirements.

Develop machine learning models, algorithms, and AI solutions across use cases such as: Natural Language Processing (NLP) Computer Vision Large Language Models (LLMs) Manage the full machine learning lifecycle, including: Data ingestion Feature engineering Model training Experimentation Model versioning Continuous delivery Design AI infrastructure on Kubernetes clusters, including container orchestration and security hardening.

Implement event-driven API integrations connecting AI services with existing enterprise platforms. Establish best practices for MLOps, CI/CD pipelines, model versioning, and production monitoring. Stay up to date with the latest AI/ML advancements and evaluate opportunities to apply them to business challenges.

Ensure all AI/ML solutions comply with security standards, privacy regulations, and ethical AI principles. Profil Strong programming proficiency in Python and other relevant languages.

Hands-on experience with machine learning frameworks and libraries such as: TensorFlow PyTorch Scikit-learn Keras Strong experience in supervised, unsupervised, and reinforcement learning. Solid understanding of MLOps practices, including model lifecycle management, monitoring, and versioning.

Strong experience in API design and integration across heterogeneous systems. Knowledge of GraphRAG or GraphDB is a plus. Good understanding of data privacy regulations and ethical considerations in AI. Fluent in English (written and spoken); French is a plus. #J-18808-Ljbffr