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 experiences- Prototype and train ranking and recommendation models using large-scale interaction logs- Design offline metrics, analyze results, and help set up or monitor online A/B tests- Turn experiment findings into iteration plans- Expose recommendation APIs and integrate them with existing Go and Ruby services- Contribute to CI/CD pipelines for data and model versioning using GitHub Actions and Docker- Participate in peer code reviews and exchange constructive feedback- Work with product owners and teammates to prioritize and scope tasks- Follow sprint ceremonies, ticketing workflows, and documentation practices- Assist in establishing basic SLAs and KPIs for service performance- Track 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 solutions- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning,



or a related field- Solid understanding of probability, statistics, linear algebra, and algorithms- Experience with LLM-powered agents, RAG pipelines, tool/function calling, multi-step planning, and orchestration- Proficiency in Python- Familiarity with at least one ML/RL or deep-learning framework, such as PyTorch, TensorFlow, or JAX- Experience with SQL, including BigQuery or PostgreSQL, and pandas or Spark- Exposure to recommender systems- Understanding of REST services and model endpoints- Awareness of unit and integration testing for data pipelines- Clear communication skills and ability to work in a fast-paced, collaborative environment- Nice 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 compensation- Private health insurance- Friendly, diverse, and international work environment- Opportunity for professional development in the CTV industry- Opportunity to help shape a product impacting millions of viewers#J-18808-Ljbffr

📌 Ai Engineer For Smart Tv Recommendations (Barcelona)
🏢 Enfint
📍 Barcelona