Welcome to TeamCMP! We're a Digital Entertainment Company and so much more!
TeamCMP
is an enthusiastic, international, and talented team with a diversity
of cultures and way of thinking. We're technologists, marketers,
business operators, video producers and VR experts from over 32
countries who share a passion for innovation.
We’ve delivered
over 17 years of success with digital products and ventures because of
our solutions mindset, investment in people, and flexible thinking
towards the evolving digital landscape.
Our goal is to maintain
and improve one of the top 30 most popular dating websites in the USA,
and to provide the best Virtual Reality experience in online
entertainment. We do this by using the trendiest technologies such as
Amazon Web Services, Kubernetes, Docker, H2O, Flask and many more. We
also follow new trends in Machine Learning and Data Engineering, and
best practices (SOLID, Domain-Driven-Design, Continuous Integration, …)
We are currently looking for an experienced Machine Learning Engineer to join our Data team in the Barcelona office.
You
will be part of the Data team working closely with technology teams
solving challenges that touch all parts of the business (Marketing,
Finance, Product, Billing, and Development). You will be responsible for
the entire Machine Learning lifecycle from building data pipelines, to
prototyping models, all the way to deploying models to production.
What you will do:
- Develop,
test and implement predictive algorithms by using state-of-the-art
Machine Learning solutions, and statistical models
- Automate data pipelines that serve models in the cloud (AWS)
- Develop and maintain real-time pipelines in production that deal with high traffic environments
- Work with development teams to allow for easy deployment of models
- Improve scalability, speed and performance of existing models
- Collaborate
with cross-functional teams such as product, development,
operations, marketing amongst others; identify use cases for
machine learning applications
- Extract, clean, combine and model data from multiple sources
- Partner with data scientists, analysts or engineers on data modellng, data processing and analysis
- Find creative solutions to problems related to customer lifetime value, ranking, recommendation, and pricing