Описание:Titan OS is a Barcelona-based technology, entertainment, and advertising company developing a Smart TV platform with recommendation and information-retrieval experiences used by millions of viewers worldwide.Задачи:Design, build, and deploy LLM-powered agents for recommendation and information-retrieval experiencesPrototype and train ranking and recommendation models using large-scale interaction logsDesign offline metrics, analyze results, and help set up or monitor online A/B testsTurn experiment findings into iteration plansExpose recommendation APIs and integrate them with existing Go and Ruby servicesContribute to CI/CD pipelines for data and model versioning using GitHub Actions and DockerParticipate in peer code reviews and exchange constructive feedbackWork with product owners and teammates to prioritize and scope tasksFollow sprint ceremonies, ticketing workflows, and documentation practicesAssist in establishing basic SLAs and KPIs for service performanceTrack and report service performance metricsТребования:2–3 Years of experience in AI Engineering, including significant recent experience designing and deploying Gen AI and LLM-based solutionsBachelor's or Master's degree in Computer Science, Data Science, Machine Learning,



or a related fieldSolid understanding of probability, statistics, linear algebra, and algorithmsExperience with LLM-powered agents, RAG pipelines, tool/function calling, multi-step planning, and orchestrationProficiency in PythonFamiliarity with at least one ML/RL or deep-learning framework, such as PyTorch, TensorFlow, or JAXExperience with SQL, including BigQuery or PostgreSQL, and pandas or SparkExposure to recommender systemsUnderstanding of REST services and model endpointsAwareness of unit and integration testing for data pipelinesClear communication skills and ability to work in a fast-paced, collaborative environmentNice to have: familiarity with real-time stream processing with Kafka or Flink, exposure to AWS or GCP AI services, interest in LLM-based recommendation, embeddings or content understanding, basic knowledge of Prometheus or Grafana, comfort with Go, Node.js or Ruby for service integrationУсловия:Competitive compensationPrivate health insuranceFriendly, diverse, and international work environmentOpportunity for professional development in the CTV industryOpportunity to help shape a product impacting millions of viewers
#J-18808-Ljbffr

📌 ai engineer for Smart TV recommendations (Barcelona)
🏢 Enfint
📍 Barcelona