(Internship/Master Thesis) Customer service e mail answering engine with Artificial Intelligence
In this role
Action: Build an NLP based engine that recommends most suitable answers to a customer’s email.
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.
Technical process: Technical design will be based on email conversations of CS people and customers on a large scale and in all three spoken languages in Switzerland. Realizing this project will result in a real NLP deep dive that will also include contextual understanding of the underlying neuronal network.
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