What we are looking for in a data scientist
Experience with Python based machine learning frameworks, first principle/scientific mindset - being able to read the scientific literature and translate that to solutions in products often with the help of an open source software stack. Experience with machine learning within natural language processing is preferred.
At raffle.ai we want to create a world-leading AI powered natural language search tool for businesses. Currently, corporate search tools like Outlook, Sharepoint, SalesForce, etc. are based on keywords and tags. This approach is too simplistic and makes it difficult to find what you are looking for. Research shows that employees spend 20% of their working day searching for internal knowledge, like documents, emails or other internal information.
raffle’s goal is to reduce this time by 80% by giving employees the option to search in natural and unspecific language. With raffle, employees can write plain sentences like ‘I sent an email a couple of months ago about a building project’, and raffle finds it.
To generate this shortcut to company knowledge, raffle needs to be best in class and always use the latest machine and deep learning methods. This requires a state of the art infrastructure ready to continuously deploy the newest models.
We are venture backed and have prominent experts and business people on the management and board level. We have very high ambitions and work closely together with both DTU and Microsoft to generate state-of-the-art products.
You are passionate, organized and self-driven, with great team working skills and a problem solving attitude. You have a devotion for great machine learning and a first principles mindset. You have an entrepreneurial spirit, and an enthusiasm for keeping yourself up to date on current topics within your field.
in collaboration with the data science team, take charge of design, maintenance, and optimization of our machine learning solutions
Evaluate models and experiments
Follow new methodology appearing in the literature and as open source and determine its relevance for our AI applications and stack
work with our Azure and Google Cloud infrastructure together with our engineering team
work alongside our Backend and Frontend Engineers to get state-of-the-art machine learning models into production
as we are in the early stages of developing multiple new products, it is expected that you will help influence and shape the machine learning solutions and stack we use
The tools we use
The machine learning pipeline is in Python using TensorFlow and Keras.
Proven experience with machine learning and data science
Experience with deep learning and natural language processing
Good understanding of containerization and Docker
Experience with test frameworks, version control and continuous delivery using CI
Good understanding of data structures and algorithms
Competences that will benefit your application
Knowledge about distributed and scalable systems
Experience with Kubernetes, Python, Node.js and React
Understanding of Machine Learning and/or Deep Learning within NLP
Experience with Information Retrieval
This job comes with several perks and benefits
Time is precious. Make it count. Morning person or night owl, this job is for you.
Get your caffeine fix to get you started and keep you going.
Easy access and treehugger friendly workplace.
We want to take you from good to great.
Social gatherings and games; hang out with your colleagues.
Your local office is your anchor point, thus, we placed it centrally at your convenience.