(Internship/master Thesis) Customer Service e Mail

vor 2 Wochen


Lausanne, Schweiz ELCA Vollzeit

**Tension**: Answering similar same questions multiple times is a waste of time and ressources.

**In this role

**Result**: Agents can quickly check if the created answer fits the need and if so, just copy paste it and save a lot of time.

**Impact**: Results of this project will be a large time saving in a real-world CS setting that will have tremendous impact in almost any fast-paced industry like FMCG, retail in general or services companies.

**OBJECTIVE**:

- Shorten the amount of time needed during customer interaction via mail

**What we offer**:

- A dynamic work and collaborative environment with a highly motivated multi-cultural and multiples international sites team
- Personal development through training and coaching
- A flat hierarchy and a culture of collaboration across all disciplines
- The chance to make a difference in peoples’ life by building innovative solutions
- High innovation and research backed up by collaboration with universities like EPFL
- Various internal coding events (Hackathon, Brownbags), see our technical blog
- Monthly After-Works organized per locations
- Good life balance (41 working hours per week and possibility to work 2 days per week from home)

**About your profile**:Python, typical ML libraries such as tensorflow, pytorch, skit-learn and/or tools such as KERAS. Knowledge of Google and/or AWS ML toolset would be an advantage. C# would be an advantage for implementation/API calls.

Besides technical skills a solid understanding of common sales processes would be an advantage



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