Machine Learning Engineer - Conversational AI

Required skills:

• Machine learning: Experience in designing, implementing, and optimizing machine learning models.
• NLP expertise: In-depth knowledge of natural language processing techniques, including text classification, entity recognition, and sentiment analysis.
• Software engineering: Solid software engineering skills with expertise in Python and relevant frameworks and libraries. Strong understanding of software design principles, code optimization, and modular architecture.
• Cloud computing: Experience with cloud platforms for deploying and scaling machine learning models.
• Problem-solving skills: Ability to analyze complex problems, propose effective solutions, and implement them in a production environment.
• Communication skills: Excellent communication skills to collaborate effectively with cross-functional teams, and mentor junior engineers.

Nice-to-have skills:

• Knowledge retrieval: Experience in optimizing knowledge retrieval systems, working with knowledge bases, and implementing efficient algorithms for retrieving relevant information.
• Prompt engineering: Familiarity with advanced prompting techniques to improve contextual understanding and the quality of the response.
• Distributed systems: Knowledge of distributed systems and parallel computing to enhance the scalability and performance of the chatbot infrastructure.
• DevOps practices: Understanding DevOps practices, including continuous integration, continuous deployment, and containerization.
• Knowledge graphs: Experience working with knowledge graphs and semantic technologies to enhance the representation and retrieval of information.