Ai Engineer

Dónde vas a trabajar?American start up based in the USA focus in personal assistant market¿Qué harás en tu nuevo puesto?-Design groundbreaking AI solutions and develop prototypes that drive the future of Duckbill's user-facing experience.- Leverage the latest innovations in AI and ML to provide a hyper-personalized experience to our users, including the development of high-engagement recommendation systems.- Build tools to maximize the output and quality of our human personal assistants (copilots), reimagining the collaboration between humans and machines in the virtual assistant space.- Automate task execution by leveraging the entire AI stack, from traditional ML to the latest LLM-agent frameworks.- Improve human task execution quality by enhancing our intelligent information retrieval systems, utilizing search and RAG techniques.- Contribute to our operations team's excellence by building smart monitoring and intervention systems.- Enhance our AI ops stack by designing and improving our evaluation frameworks, allowing the team to iterate on prompts, models, and approaches with both agility and thoroughness.- Enhance our human annotation flow stack to enable leveraging our human resources for annotation, model comparison, and golden dataset generation.- Maximize the value extracted from our proprietary data using state-of-the-art techniques (fine-tuning, RLHF, RAG, etc.), critically contributing to the defensibility of our AI strategy.¿A quién buscamos (H / M / D)?- 4+ years of experience in an ML engineering role.- Proficiency in machine learning, with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Modeling. Specialized knowledge in recommender systems is a plus.- Strong engineering skills in Python and data manipulation skills in SQL.- Solid knowledge of the main patterns in ML model deployment, both online (API-based) and offline (batch jobs), with the ability to design production-grade solutions.- Experience with the entire MLOps stack, especially in experiment / model performance tracking and model monitoring in production.- Strong product and business intuition, with a deep understanding of what makes an ML project a business success.- Interest and foundational knowledge in the LLM space.¿Cuáles son tus beneficios?Salary depends on the experience between 50.000-70.000€Remote work 3 / 4 days per week