5 machine learning jobs found in Basel

Senior DevOps & Platform Engineering Lead (Azure | Terraform | Enterprise Release Management) Location:   Basel, Switzerland Employment Type:   Full-time Language:   English required About the Role Swiss Himmel GmbH is looking for a   Senior DevOps & Platform Engineering Lead   with   15+ years of experience   to drive cloud transformation, platform engineering, and   mission-critical release governance   within a complex, regulated banking environment. This is a senior leadership role combining   hands-on engineering, production delivery ownership, DevOps strategy, and ITIL-based release governance . You will be responsible for building scalable Azure-based platforms, implementing Infrastructure as Code, and ensuring the successful delivery of regulatory and business-critical releases with zero disruption. Your Responsibilities Design and implement   Infrastructure as Code (IaC)   using Terraform across Azure environments Build and manage...

Join our Product & Technology department as a   Data Engineering Intern   and gain practical, hands-on experience in a real production environment. You will contribute to the continuous improvement of our digital platforms and data systems while developing reliable and scalable data-processing solutions. High-performing interns may be considered for full-time opportunities after graduation. As part of our commitment to fostering a collaborative team environment, this role requires working fully on-site. Tasks & Responsibilities Develop and deliver a data engineering report automation project end-to-end; Build or extend simple ETL/ELT pipelines under guidance; Improve data quality checks, transformations, and monitoring processes; Contribute to creating reliable and repeatable data-processing components; Support testing, debugging, and optimization of data workflows; Prepare a final report summarizing main tasks, outcomes,...

Join our AI team as a   Research Grants AI Intern   and contribute to building intelligent systems that connect grant data, research publications, and researcher profiles. This internship offers hands-on experience in real-world data acquisition, NLP-driven entity matching, and research intelligence workflows within academic publishing. As part of our commitment to fostering a collaborative team environment, this role requires working fully on-site. Tasks & Responsibilities Build workflows for crawling, extracting, and indexing grant information from public sources; Normalize and structure grant metadata (e.g., funding agency, grant IDs, investigators, timelines, keywords); Develop and implement text-mining and metadata-matching methods to link grants with publications; Integrate grant data into internal databases and graph-based systems; Support the exploration of predictive models to identify research trends and funding...

100% Permanent Allschwil Facing the challenges of our time -   Help us grow and be more impactful! Our   AI for Life Sciences   team extends CSEM’s capabilities in cell microsystems, biomonitoring, and lab automation with advanced data science and machine learning. We develop computational and ML tools to analyze omics and phenotypic data, integrate clinical information, and interpret molecular signatures from custom sensors and instruments. This environment offers a unique opportunity for a Biomedical ML Scientist to contribute to high-impact technology development and technology transfer and create next-generation analytical methods at the intersection of biology, data science, and engineering. Your mission Your mission is to lead the design and deployment of advanced machine learning solutions, using deep technical expertise and strong communications skills to guide teams in selecting, building, and refining state-of-the-art ML architectures that...

Senior Real World Data Scientist / Epidemiologist / Biostatistician Location: Kaiseraugst, Switzerland Are you excited about scientific innovation and eager to provide quantitative advice and insights for our Human Nutrition and Care research and development? Do you enjoy working with large-scale observational nutrition datasets (e.g. UK Biobank, NHANES) and applying cutting-edge methods like causal inference in a real-world context? Then this position might be the right next step for you! We are looking for an experienced and motivated colleague to join our biostatistics team in the Data Science department. Key Responsibilities: Provide statistical and epidemiological expertise on observational nutrition data. Analyze large cohort datasets, surveys, biobanks, digital biomarkers, consortium data and real-world data to generate insights for better nutrition, healthy ageing and prevention. Apply advanced techniques such as causal inference to address complex...