Senior Applied AI Scientist
Intent HQ
- London, United Kingdom
- Senior Level
- Posted
Skills
Required
- machine learning models
- clustering
- sequence modelling
- transformers
- natural language processing
- Spark
- SQL
- PySpark
- databricks
Preferred
- CausalAI modelling frameworks
- dowhy
- econml
Join our team as a Senior Applied AI Scientist, where you will help our customers achieve ROI from their first-party behavioral data by delivering cutting-edge Behavioral AI solutions. You will work closely with our product, engineering, and customer success teams, and will be responsible for developing core product behavioral models, prototyping new solutions, and conducting research and development in behavioral AI. This role is ideal for data scientists with experience working with customers and a passion for insights and personalization.
About Intent HQ
The ability to work with agents and harnesses to deliver deployable, production-ready code as part of our product and engineering pods
Responsibilities
- Contribuer au développement de modèles comportementaux de base pour le produit, en travaillant directement au sein des équipes de produit, d'IA et d'ingénierie.
- Prototyper de nouvelles solutions avec les données des clients, en collaborant avec l'équipe de réussite client pour comprendre les besoins des clients.
- Participer à la recherche et au développement de modèles d'IA comportementale, en concevant et en construisant des modèles comportementaux de base en utilisant des techniques d'apprentissage profond de pointe.
- The most important requirement is the ability to creatively think through our customer’s challenges and solve problems that will enable us to productise the science that will deliver customer ROI
Requirements
- Experience working closely and collaboratively with internal and external business stakeholders to understand their needs
- Passionate about communicating and are able to translate technical content in commercial terms for non-technical stakeholders, such as customers, sales and product teams
- Knowledge and experience of building and evaluating machine learning models in areas such as clustering, sequence modelling, transformers, and other natural language processing and deep learning
- B2B product experience
- Experience with Spark SQL, PySpark, databricks
Preferred
- Experience with CausalAI modelling frameworks (e.g. dowhy, econml)
