Senior AI Engineer

Main tasks and responsibilities • Being comfortable with experimentation and willing to approach a problem in multiple ways via rapid prototyping. • Identifying appropriate datasets and driving annotation for machine learning techniques. • Developing (together with relevant expert talents) and maintaining machine learning applications and products. • Iteratively (re-)training the developed models and running evaluation experiments in collaboration with others, as well as performing statistical analysis of results. • Keeping an eye on state-of-the-art machine learning solutions, emerging technologies, and developments in academia. • Translating and communicating technical concepts and solutions to different stakeholders. Key requirements Education LevelBachelor’s or advanced degree in Computer Science, Artificial Intelligence, Mathematics, or a related field. Technical Skills: • Expertise in the Scala programming language and the Play Framework is desired, but not mandatory. • Advanced Elasticsearch experience. • Postgres database or other relational database experience. • Experience in content apps. • Experience in microservices. • Knowledge of a variety of AI techniques - such as natural language processing, classification, clustering, optimization, and deep neural networks - along with a solid understanding of their mathematical foundations and real‑world advantages and drawbacks, is preferred. • Knowledge of data structures, semantic extraction, and text representation in an NLP context. • Proficiency in Python (OOP) preferred. • Experience in using technologies such as Docker. Azure, GCP, and AWS. • Experience in creating APIs (RESTful, Asynchronous, etc.). • Familiarity with the concepts and applications of LLMs is a plus. • Ability to write clean, production-ready code. Other Skills: • Fluency in English is required. Any additional language skills are an asset.