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 Level Bachelor’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.