AI ENGINEER, Madrid
Empresa
Michael Page
Provincia
Madrid
Ciudad
Madrid
Tipo de Contrato
Tiempo Completo
Salario
Entre 48000 Euros y 72000 Euros Bruto/año
Descripción
AI ENGINEER
Perfil buscado (Hombre/Mujer)
-Design groundbreaking AI solutions and develop prototypes that drive the future of Duckbills 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 teams 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.
American Start Up Permanent contract
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.
American start up based in the USA focus in personal assistant market
Salary depends on the experience between 50.000-70.000
Remote work 3/4 days per week
Inteligencia Artificial, Python, machine learning
Perfil buscado (Hombre/Mujer)
-Design groundbreaking AI solutions and develop prototypes that drive the future of Duckbills 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 teams 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.
American Start Up Permanent contract
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.
American start up based in the USA focus in personal assistant market
Salary depends on the experience between 50.000-70.000
Remote work 3/4 days per week
Inteligencia Artificial, Python, machine learning