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Machine learning engineer

Lugano
Artificialy
Inserat online seit: 1 November
Beschreibung

Machine Learning Engineer

Essentials (please don\'t apply if you don\'t match all three):

* You should have EU or Swiss nationality/C permit.
* You should be top 5% both at your Bachelor and at your Master.
* You should upload your full transcripts.


Role

* You will work closely with our clients and project managers to design solutions, process data, train AI models, deploy models, and maintain them.
* You will be involved in the full development process of AI products, to build the optimal solution for every situation.
* You will collaborate and support our software engineers and infrastructure team to ensure smooth integration.
* Your strong interpersonal skills will enable you to engage effectively with clients, both in-person and remotely.


Location

* Lugano, min. 80% on site.


Required competence and attitudes

* Strong programming skills (Python, SQL, …) and knowledge of ML libraries (e.g. TensorFlow, Pytorch, Scikit-learn, …).
* In-depth knowledge of ML technologies, concepts and applications.
* Expertise in data visualization tools (e.g. Tableau, Matplotlib, Power BI, ...).
* Competences in deployment tools (Docker, Kubernetes, CI/CD).
* Familiarity with developing with Git (GitLab/Github/Bitbucket).
* Experience with modern Python web frameworks such as FastAPI, Flask is a plus.
* Expertise in system architecture, databases (e.g. PostgreSQL), cloud computing (AWS, Azure, GCP) is a plus.
* Strong communication and collaboration skills
* Work experience is a plus.


Education

* Top 5% Master\'s degree or PhD in Data Science, Computer Science, Mathematics, Physics, Informatics, Engineering, or equivalent.


Languages

* English: Strong command.
* Strong command of Italian or German; French is a plus.


We offer

* Full-time permanent contract.
* Fast career development, attractive compensation.
* Stimulating scientific context and informal environment.
* Training, tutoring, and close relationship with cutting-edge research teams.
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