Scientific Collaborator in the area of Machine Learning and NLP in financial industry — SUPSI / DTI

NewCHF 51'500 - 88'000

SUPSI / DTI · Lugano (TI)

Categoria: tech Contratto: full-time Salario: CHF 51'500 - 88'000

SalaryCHF 51'500 - 88'000

Scientific Collaborator in the area of Machine Learning and NLP in financial industry

Scientific Collaborator in the area of Machine Learning and NLP in financial industry
Duties and responsibilities
Master’s degree in computer engineering, Machine Learning engineering, or equivalent background.
In-depth knowledge of programming languages and scripting languages, such as Python and Bash.

Master’s degree in computer engineering, Machine Learning engineering, or equivalent background.
In-depth knowledge of programming languages and scripting languages, such as Python and Bash.
Experience with modern ML tools.
Experience with Deep Learning libraries (e.g., PyTorch), Pandas, and NumPy.
Good relational skills and ability to work both autonomously and in groups, in a goal-oriented environment.
Good organizational and problem-solving skills.
Good knowledge of spoken and written English, and Italian.
The candidate should be among the top 10 % of Master graduates of their university.

The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) invites applications for one
Scientific Collaborator in the area of Deep Learning and/or NLP at the
Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI)
within the Department of Innovative Technologies (DTI), located in Lugano.
The degree of employment is 100%, with a contract starting on 01.09.2026, or on a mutually agreed date.
The selected candidate conducts advanced research in Machine Learning, with a focus on natural language processing (NLP) and Deep Learning applications for the financial industry.
The successful candidate will collaborate within an R&D team that targets the development of Deep Learning applications for the financial industry, in strong collaboration with other Machine Learning engineers, researchers and industry partners. The candidate will:
Develop and implement Deep Learning systems in a financial industry context.

Names and email addresses of three reference contacts For further information, please contact Dr. Oleg Szehr

Good organizational and problem-solving skills.
Good knowledge of spoken and written English, and Italian.
The candidate should be among the top 10 % of Master graduates of their university. Preferred Qualifications
Extensive experience with Deep Learning, particularly in the context of LLMs.
Experience with Reinforcement Learning, particularly in the context of LLMs.
Experience with relational databases (e.g., MariaDB, PostgreSQL), NoSQL databases (e.g., MongoDB), graph database (e.g., Ne4J).
Experience in using containerization tools (e.g., Docker, Apptainer).
Experience in CI/CD tools (e.g., GitLab CI/CD, GitHub actions).
Knowledge of software architectures like microservices, distribute systems, web services, REST APIs.
Development of AI Agents. Desired but not strictly required

Scientific Collaborator in the area of Deep Learning and/or NLP
The successful candidate will collaborate within an R&D team that targets the development of Deep Learning applications for the financial industry, in strong collaboration with other Machine Learning engineers, researchers and industry partners. The candidate will:
Perform data analysis and reporting using Data Science techniques and methods. Essential Requirements
Development of AI Agents. Desired but not strictly required
Knowledge of a second national language.
SUPSI offers a stimulating environment and unique opportunities for those who wish to grow professionally and actively contribute to innovation. Specifically, the position offers: Application Process
Applications will only be considered if submitted electronically by
The following documents, written in English, must be included:
Names and email addresses of three reference contacts For further information, please contact
In addition to the required application documents, further documentation (such as a criminal record certificate or a copy of an identity document) may be requested at a later stage.

The successful candidate will collaborate within an R&D team that targets the development of Deep Learning applications for the financial industry, in strong collaboration with other Machine Learning engineers, researchers and industry partners.
The candidate will:
Perform data analysis and reporting using Data Science techniques and methods.
Requirements
Essential Requirements
Development of AI Agents.
Desired but not strictly required
What SUPSI Offers
SUPSI offers a stimulating environment and unique opportunities for those who wish to grow professionally and actively contribute to innovation.
Specifically, the position offers:

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