AI/ML Engineer | AI Center of Excellence

AI/ML Engineer | AI Center of Excellence
Job Description
Do you have a dynamic approach to solving problems and processing data at scale? Are you passionate about building machine learning (ML) tools for data scientists? Do you believe machine learning (ML) can have a material impact on how we do business and want to be a part of the journey to help teams, companywide, enhance our players’ experiences? Then you could be our new, shiny, ML Operations Engineer!


Your role within our Kingdom
You´ll be part of a Central ML Operations team. Working closely together with roles as Data Engineer, Data Scientist, ML Engineer. Our mission? Build and maintain data models & pipelines, ML models & infrastructure to operate machine learning reliably at scale.


As ML Ops Engineer at King, you will be using the latest technologies to build ML products that democratize ML model training, tuning and deployment across the company. With over 250+ million monthly active users and 50 billion events being uploaded daily, it’s key that you care about writing highly optimized code and care about quality. You’ll be working with both streaming as well as batch data in a highly challenging technical environment.


You will work in collaboration with business stakeholders, both within your team and supporting other teams, on creating value from data. Together with your team members you´ll get to learn on the job every day!


Skills to create thrills
So what about you? You probably have hands on experience in ML projects working as an ML Ops engineer or you support a Data Science/Machine Learning team as a Software Engineer. You are an advocate for clean APIs and interfaces, and you strive for easy-to-read documentation. You also have experience in some of the following areas:
Distributed data processing and modeling (batch & streaming)
Building data pipelines and ML pipelines
GCP data products (BigQuery, Cloud Storage, Dataflow, Pub/Sub to name a few) or products from other cloud providers
Basic knowledge of Machine Learning



Tasty bonus skills
Have any sweet experience with one or some of the following areas? Then we sure like to hear about them!
Development in or exposure to environments/software products in Python and Java
Experience working with Flink, Kafka, Spark or similar
Familiar with machine learning concepts and algorithms
Contributions to open source projects
We know that you are into games on some level (casual, console, board-games, Uno etc.)