Machine Learning Applications Team Lead

We are looking for a person who can lead and inspire the MLA team. As a team lead you will be responsible for prioritization of tasks in collaboration with external stakeholders, mentoring, inspiring and growing the members of the team according to their career paths. You are also expected to represent the team within the engineering department. You will set the technical direction for the team and will be part of all stages of development, from initial sparring and exchange of ideas to prototyping, development, testing, deployment, maintenance / improvement and reporting. As a team lead you will be a central player in defining the ML and AI strategy for LiveIntent and how we deploy and maintain models at scale. We believe in flexibility under responsibility, and our development process is therefore a loosely defined hybrid of agile methods and rapid prototyping.

Your Profile:

1. Have previous professional experience with production-level Machine Learning/AI and eventually leading a team of data scientists and machine learning engineers.
2. Have an interest or experience with MLOps and eventually have worked with MLOps on a professional level.
3. Is interested in translating real world issues into mathematical models, mathematical statistics, and algorithms.
4. Ideally also has an interest or previous experience programming (in several languages), machine learning and / or adtech technology.
5. Have a mathematical education; such as Computer Science, Mathematics, Statistics or Physics.
6. Have practical experience with real programming, practical and / or deep theoretical understanding of some of the following: classical statistics (i.e. hypothesis tests), ETL processing, deterministic or probabilistic machine learning, deep neural networks, recommender systems, distributed data processing using Spark, programming in Scala and/or Python, data reporting and ad hoc analysis in Athena..
7. Have product knowledge in adtech or martech.
8. Have an interest in the frontier within AI and how it practically can be brought to use.