Data Scientist

Enterprise Bot is the leading provider of GenAI, Conversational AI, and automation software, headquartered in Zurich, Switzerland. Our intelligent virtual assistants and automation tools help organizations improve efficiency, reduce costs, and deliver exceptional customer experiences across industries such as banking, insurance, and logistics. Our mission is to become the world’s #1 AI-driven automation software provider within the next five years.

We work with leading companies such as the SIX Group (Swiss Stock Exchange), SWICA, Generali, and others to enhance customer interactions and automate business processes using our cutting-edge Conversational AI technology.

Our global team includes more than 70 highly skilled professionals from diverse backgrounds.

We foster an open, progressive company culture with state-of-the-art technology and flat hierarchies. At Enterprise Bot, you’ll experience a unique blend of passion, purpose, challenge, and fun.

We are looking for a full-time Data Scientist for our Bangalore office. As an integral part of the team, you will work within multi-disciplinary teams and with external collaborators to identify opportunities for leveraging data, developing proof-of-value prototypes and implementing data science and AI solutions that solve R&D enterprise level problems.

• →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.
• →Monitor and maintain high quality and accuracy of models during deployment.

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