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4 devops jobs found in Basel

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Full time  (4)
Swiss Himmel GMBH
27/02/2026
Full time
Business Data Analyst – IT Solutions
Swiss Himmel GMBH Steinentorstrasse 35, 4051 Basel, BS, Switzerland
Job Title: Business Data Analyst – IT solutions Location:   Basel, Switzerland Experience:   15+ years Employment Type:   Full-time About the Role Swiss Himmel GmbH is seeking an IT Business Data Analyst with deep expertise in enterprise banking systems, Swiss-specific interface design & integration, and data management modernization in Basel, Switzerland. This role focuses on impact assessments for application re-wiring, resolving data-related issues, extracting and analyzing data to support business decisions, identifying problems with stakeholders, managing legacy system migration to a data lake, and regular stakeholder engagement This is a rare opportunity for professionals with combined expertise in core banking and wealth management products, migration projects involving big data on cloud, automation, and working experience with both distributed on-prem Data Lakes and RDBMS. Key Responsibilities Translate business needs into data models and...
MDPI AG
02/03/2026
Full time
Research Grants AI Internship (100%, 4-6 months)
MDPI AG Grosspeteranlage 5, 4052 Basel, BS, Switzerland
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...
CSEM SA
07/03/2026
Full time
Senior AI/ML Scientist (F/M/D) 100%
CSEM SA Allschwil, BL, Switzerland
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...
DSM-Firmenich
20/02/2026
Full time
R&D Data Management Delivery Expert
DSM-Firmenich Kaiseraugst, AG, Switzerland
Job Title : R&D Data Management Delivery Expert. City, Country:   Kaiseraugst/Geneva, Switzerland /Delft, The Netherlands/ Barcelona, Spain. Join our FAIR Data Management team to strategically lead the delivery of R&D data engineering and modeling projects that power FAIR, interoperable science. Build and scale pipelines, models, and catalogs on our modern data platform. Partner with scientists to turn complex requirements into reusable data products. Your key responsibilities Lead end‑to‑end delivery of data engineering and modeling projects (pipelines, models, catalogs). Enable and oversee squads to build and scale reliable pipelines and reusable data products, ensuring performance and quality. Define and enforce modeling standards and metadata/lineage practices aligned with FAIR. Partner with (data)scientists and IT, translating complex needs into practical, scalable data solutions. Shape and govern scalable data architectures, guide...

 

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