Benefits:

• The opportunity to work with renowned brands and be part of an innovative team at the forefront of conversational AI technology.

• A dynamic and collaborative work environment that encourages continuous learning and professional growth.

• Competitive salary and benefits package.

• Flexible working hours and fun get-togethers.

• The possibility of joining a startup that is shaping the future

Experience Requirements:

• Prior experience with project management and a customer success mindset to ensure smooth execution and client satisfaction

Other Requirements:

• Native language skills in German (ideally Swiss German) and high proficiency in English. Proficiency in French and/or Italian would be appreciated.

• Ability to work and organize yourself independently and to efficiently manage your tasks and time

• Strong analytical abilities with excellent written and verbal communication

• Attention to detail in terms of language and ensuring good data quality

• Personable and comfortable in communicating and managing meetings with internal and external stakeholders alike

• Curiosity and willingness to learn about and work with new topics

Responsibilities:

• Evaluate and manage client requirements for projects

• Create process flows from client briefing without coding

• Create AI knowledge bases for our bots without coding

• Use prompt engineering to manage and improve output quality

• Provide error and solution analyses ensuring that high quality is met

Benefits:

• A culture comprised of diverse, global teams who have a passion for collaboration and client service.

• A competitive salary and scope for further advancement

• State-of-the-art engineering solutions - working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun

Experience Requirements:

• 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science

Other Requirements:

• Strong skills in Python

• Hands-on experience in developing & running machine learning applications in production

• Familiarity with training and serving large language models in production

• Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining

• Strong understanding of fundamentals of Computer Science

Responsibilities:

• The data scientist will be responsible for design and development of deep learning & LLM based models on unstructured and Structured Data.

• Will focus on not just on designing the algorithm but also on delivering it at scale.

• Will build and deploy deep learning techniques in production.

• Design and develop software modules that perform data ingest, data transform, and analytics tasks.

• Deliver customized solutions in a timely manner.