Datalynx AG

Datalynx AG was founded in 1996 in order to meet the informatics needs of both multi-national and local organizations. Our employees have always been and continue to be exceedingly well qualified and in possession of extensive and relevant work experience. Datalynx has also always valued the strength that comes from a fruitful relationship and we are pleased to say that our initial customers are still with us today.

20/07/2024
Full time
Datalynx AG Basel, BS, Switzerland
For our client, a well-known pharmaceutical company in Basel, we are looking for a ML Engineer/Python Developer(m/f/d). Background Proficiency in Python, with a solid understanding of software development principles and best practices. REST API Design: Deep knowledge and experience in designing and implementing RESTful APIs. CI/CD and DevOps: Experience with Continuous Integration/Continuous Deployment using GitLab, GitOps, and Kubernetes for hosting services is advantageous. Familiarity with implementing user interfaces is a plus. High-Performance Computing: Prior experience working in HPC environments is beneficial. Machine Learning Engineering needed for an ML Engineer position: Some experience in machine learning engineering or MLOps, ideally within the life sciences domain, to support the development of data-driven solutions. LLMs and Multi-Agent Framework required for ML Engineer position: Knowledge of Large Language Models (LLMs) and...
05/07/2024
Full time
Datalynx AG Kaiseraugst, AG, Switzerland
For our client, a well-known pharmaceutical company in Basel, we are looking for a Data Engineer (m/f/d). Background The perfect candidate has 4 years of experience in data and workflow engineering. Additionally, the person is experienced in data integration using warehouses, data lakes and database modeling. Experience with Python and SQL is required. Lastly, the candidate communicates fluently in English. General Information Start date: 15.08.2024 latest Start Date: 01.11.2024 Planned duration: 6 months Extension: possible Workplace: Basel Workload: 100% Remote/Home Office: partially remote, partially in Basel Tasks and Responsibilities Developing a robust light-weight framework for creating data products based on an existing prototype that extracts data from multiple sources and creates data visualizations as the output Creating automated extraction and loading processes from key...