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Machine Learning Engineer

Lieu de travail Basel
Secteurs Software Development
Type d'emploi contrat
Un salaire Negotiable
Référence BBBH598453

Machine Learning Engineer

On behalf of our Pharmaceutical client in Basel, we are looking for a Machine Learning Engineer with experience in machine learning or MLOps, ideally within the life sciences domain, to support the development of data-driven solutions.
Knowledge of Large Language Models (LLMs) and LLM-based multi-agent frameworks from the perspective of an engineer is required.

This role requires good skills in software development and team working.

The perfect candidate:

Strong Programming Skills: 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.


General Information:

* Start date: 15.8.2024
* Planned duration: 6 months
* Extension (in case of limitation): possible
* Workplace: Basel
* Workload: 100%
* Remote/Home Office:partial


Tasks & Responsibilities:

* Provide agile software development services for the "Target Evaluator" project according to the project plan
* Provide technical consulting services to support the project team


Must Haves:

* Educational background: Bachelor or higher education
* Professional background in a similar role: around 5 years experience
* IT skills: Python, CI/CD, REST API design, ML engineering
* Language skills: English fluent


Nice to Have:

* ML engineering
* experience in high performance computing
* user interface design

If this job interests you please do send us your CV today through the link in the advert. However, should you have any questions please contact Elaine Kanwar at +41 61 282 22 23

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