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 metrics
Требования:





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 Fli

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