Hopsworks is a platform for Data-Intensive AI with a Feature Store, a warehouse for machine learning features. Logical Clocks’ vision is to simplify the process of refining data into intelligence at scale. At Logical Clocks, you will be part of a fast paced startup environment with the possibility to contribute to the entire product and open-source projects.
As a machine learning engineer, you will work with customers to build cutting-edge machine learning solutions based on the Hopsworks platform. This includes building end-to-end machine learning solutions and training customers on the Hopsworks platform. You will also drive the vision and implementation of the Hopsworks platform ensuring that our user’s needs are being met.
Develop end-to-end machine learning solutions at customers
Train customers on the Hopsworks platform
Analyze customer needs and feed them back into our platform
Build and integrate cutting-edge machine learning tooling
Be an active member of the community by presenting at conferences and meetups
Who you are? You probably have:
Experience in creating production machine learning solutions
Experience with ML frameworks such as Tensorflow, Keras, PyTorch and scikit-learn
In-depth knowledge of Python, Scala is a plus
Used data technologies such as Spark, Kafka and Hadoop
Knowledge of clouds such as AWS, Azure or GCP is a plus
Task-driven mindset with good communication skills in English
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.
Social gatherings and games; hang out with your colleagues.
Peckish after lunch? We got your back with soft drinks, treats and fruit.
Kids are the future, go spend time with them.