Integration of an on-premise Artificial Intelligence solution - Internship 6 months
- Office
- Geneva
- Start Date
- 01.02.2025
- Type of Contract
- Intern
Description
The Bank’s entire operations are managed by COO Division and are headed up by the Chief Operating Officer. It strives to provide both in-house and external clients with a first-rate service to ensure our business operates efficiently and at the best possible cost. The COO division comprises Operations, Finance, Information Management, Human Resources and Logistics. COO employees are committed to providing, with professionalism and enthusiasm, an efficient, proactive, high-quality service that meets the needs of clients within the context of the Bank’s overall strategy.
Mission
The intern's objective is to participate in the project to deploy an on-premise artificial intelligence infrastructure and to develop the first use case based on the transcription and summarization of phone conversations
Main responsibilities
- Join the team responsible for AI deployment at the bank and actively contribute to the project by proposing innovative solutions.
- Deploy a production-ready platform while adhering to the company's automation and monitoring standards.
- Evaluation of inference models to select the best ones for addressing the first use case of transcription and summarization.
- Participate in the design and development of the transcription and summarization pipeline.
- Monitoring of the solution and proposal of improvement areas based on the initial execution feedback.
The internship at a private bank will require following the confidentiality guidelines related to our security policy.
Technical skills: familiarty with AI/ML concepts and frameworks (e.g. TensorFlow, PyTorch) and knowledge of containerization techniques.
IT tools: Python development, IA framework (langchain, TensorFlow, PyTorch), understanding of natural language processing (NLP) techniques, knowledge of cloud platforms and on-premise deployment practices is a plus.
Personal skills
Curious mind, open-mindedness, a desire to learn, rigor, and respect for confidentiality rules, while contributing to dynamic projects using the latest technologies. A passion for artificial intelligence and a keen interest in the banking sector's technological challenges are essential.
Education
- Education: Master Degree
- Technical skills: Familiarity with AI/ML concepts and frameworks and knowledge of containerization techniques.
- IT Tools: Python Development, IA framework, NLP, cloud platforms' knowledge.
Experience
- Years of experience: N/A
- Experience in private banking: N/A
Language
- English: Fluent
OTHER
- Swiss resident: Optional