8 jobs found in Basel

THE OPPORTUNITY Are you an AI-native software engineer ready to shape how enterprise brands appear in AI? The Adobe Brand Visibility team builds the systems that determine how enterprise brands appear in ChatGPT, Gemini, and the next generation of AI agents. We're looking for an AI-native Lead Software Engineer who architects platforms with multi-year relevance, establishes AI-native practices the whole org adopts, and shapes Adobe's technical direction at the intersection of AI and brand intelligence. This role doesn't follow the playbook — it writes it! WHAT YOU'LL DO As an AI-native Software Engineer, you'll operate across team boundaries. You'll define AI architecture strategy for systems that are AI-debuggable across service chains. You'll build shared tooling - MCP servers, skills, pattern libraries — that raises the engineering floor across the org. Build and ship features for Brand Visibility - an AI-first product that helps enterprises optimize their...

THE OPPORTUNITY Are you an AI-native software engineer ready to help enterprises stay visible in the era of AI? The Adobe Brand Visibility team builds the systems that determine how enterprise brands appear in ChatGPT, Gemini, and the next generation of AI agents. We move fast, build with AI-native practices, and measure success in real customer outcomes. As a Software Engineer, you'll own features end-to-end, run the full spec-driven lifecycle, and help set the standard for what AI-directed development looks like in practice. WHAT YOU'LL DO Build and ship features for Brand Visibility — an AI-first product that helps enterprises optimize their digital presence for AI-driven discovery Design and deliver features independently, from spec through validation, across backend services and data pipelines Drive the full spec-driven lifecycle — write validation criteria before implementation, use multi-session patterns for larger work Configure AI harness setups and...

Basel 80–100% | immediately or by arrangement Do you want to actively contribute to improving data quality and sustainably strengthen the use of data within your organization? In this role, you will play a key part in the operational management and measurable improvement and further development of data quality. You will create transparency regarding the status of critical data, analyze deviations, and drive targeted improvement measures. You will work closely with data owners, data stewards, business units, and IT. Become part of the team and apply now! Here's how you can get involved: Defining, maintaining, and further developing entity-specific data quality KPIs for prioritized business data objects Setting up and operating targeted monitoring for critical business data objects, including transparent presentation of status, trends, and improvements. Analyzing quality deviations at the data object level and conducting structured root cause analyses in close...

Basel, CH Full-time Unlimited Your Role As AI Platform System Engineer at Bank J. Safra Sarasin you are strengthening our platform team as a professional and experienced engineer and provide technical engineering and operational infrastructure services to enterprise infrastructure for AI initiatives in close collaboration with several stakeholders. Your Responsibilities Design and evolve scalable AI infrastructure services optimized for GPU workloads Implement and manage enterprise-grade AI platforms (e.g., Kubernetes, OpenShift) for model inference Operate and maintain high-performance computing (HPC) clusters, including bare-metal and virtual GPU servers Troubleshoot and resolve complex infrastructure incidents across hardware and software stacks Support data science teams with infrastructure provisioning Perform critical infrastructure tasks and participate in on-call rotations Your Profile University...

The Position This role is in the Statistical Methodology group, a core function within Product Development Data Sciences (PDD) that strives to enable the most impactful use of quantitative methodology at Roche through internal collaboration, external outreach, and continuous capability building. The Opportunity The Statistical Methodology group is a core function within Product Development Data Sciences, enabling the impactful use of quantitative methodology across Roche through internal collaboration, external outreach and continuous capability building. As a Senior Statistical Methodology Data Scientist, you will play a strategic role in advancing the adoption of fit-for-purpose statistical methodologies that strengthen scientific rigor, evidence generation and decision-making across clinical development programs and portfolios. Acting as a methodological thought partner, you will collaborate with study teams, biostatisticians and cross-functional stakeholders...

Unilabs is one of Europe's leading diagnostics groups — 12,500 people, 200+ laboratories across 14 countries, and more than 237 million diagnostic tests performed annually. In pathology alone, Unilabs processes tens of thousands of histopathology cases each year, with flagship digital pathology centres already operating at 100% whole slide image scanning capacity in Geneva and Lausanne. Core Responsibilities 1. Core Agentic Architecture & Retrospective Extraction LLM Extraction Agents: Design, build, and maintain production-grade LLM-based extraction pipelines to automatically parse years of unstructured PDF pathology reports. Structured Parsing: Programmatically extract clinical entities such as diagnoses, tumor grades, pathological staging, and critical biomarker statuses from raw, free-text documents. Framework Selection: Evaluate and integrate specialized agentic frameworks and orchestration tooling (e.g., LangChain, LlamaIndex, or direct LLM API...

The Machine Learning Engineer will lead the development of the core algorithms powering Moonlight’s AI platform. This high-impact role drives execution of the R&D roadmap, sitting at the intersection of computer vision, engineering, and product development. Responsibilities: Develop, validate, and document deep learning algorithms to extract molecular results from whole slide images Lead experimentation to build novel algorithms: define hypotheses, execute experiments, and iterate while protecting the critical path Collaborate closely with clinical, product, and business functions to translate requirements into model specifications Partner with data engineering to build scalable pipelines for data processing, traceability, and compliance Contribute to building Moonlight’s AI platform, including model integration, performance optimization, and deployment workflows Develop explainability and interpretability methods to support clinical trust and validation...

As a Data Engineer, you will build and implement the core data, ML, and deployment infrastructure that enables scalable, reproducible, and traceable machine learning systems for use in clinical diagnostics. In addition, your code will ensure the traceability and quality of all digitized data from ingestion to research, model development, clinical validation, and inference. This high-impact role spans data engineering, MLOps, and ML platform development in a regulated environment. Responsibilities: Build robust data ingestion pipelines for multi-modal datasets consisting of gigapixel images paired with genomic results and clinical metadata Together with the Software Engineer, design unit testing, logging, and controls to ensure a high-quality and complete data warehouse spanning structured and unstructured data Ensure data quality, consistency, and traceability by authoring the ML platform that enables training, evaluation, deployment, and monitoring of ML models...