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Machine Learning Engineer - MLOps (m/w/d) (RTL Deutschland)

 

 

Become part of Europe's leading entertainment brand.

 

From a TV company to a content, tech and data powerhouse – all for sustainable success. This is what connects RTL Deutschland. Together, we entertain, inform and inspire millions of people every day with our content and products across all platforms.

 

Team spirit and a hands-on mentality are important to us. Around 4,000 employees at 25 locations in Germany and abroad belong to RTL Deutschland. We are the professional home for creatives, numerical geniuses, strategists and forward thinkers. You can be a part of RTL Deutschland too: The tasks and opportunities are as diverse as our employees themselves.

 

We are looking for you as soon as possible // on a permanent basis // full-term // at Cologne, Berlin, Munich, Frankfurt or Hamburg as: 

 

MACHINE LEARNING ENGINEER - MLOps (M/W/D)

 

The MLOps team pursues the goal of providing infrastructure, tooling and support for machine learning pipelines, working closely together with our core infrastructure and data tools teams.

 

These tasks await you:

  • Design, build and maintain the ML CI/CD pipeline and workflows that automates data collection, data analysis, experimentation, model training, model serving and monitoring in production.
  • Build, test and maintain the infrastructure and tools to facilitate the consistent and automated AI software solution development and release process
  • Automate model training and release workflows and build services around ML inference and model deployment for runtime processing
  • Data modeling to support machine learning model training
  • Work closely with data engineers, data scientists and product to scale model training, build pipelines that help in continuously improving models deployed in production and explore new data sources and model features
  • Implement measures to improve reliability and performance of the ML  infrastructure
  • Actively seek ways to improve ML pipeline development and operation process
  • Contribute to our overall mission at the DATA Alliance by sharing your expert knowledge regarding ML Engineering, architecture, and ML Ops
  • Working in an agile, international environment

 

And this is your profile:

  • B.Sc., M.Sc. or Ph.D. in computer science or a related field
  • 4+ years of experience working as a Machine Learning Engineer, Data Engineer or in a similar role with strong ML background
  • Experience building, deploying and maintaining ML models in production
  • Experience with ML frameworks, python tools for data science and MLOps tools such as pytorch, TensorFlow, ModelDB, MLFlow and Kubeflow.
  • Solid skills in programming with Python and ability to write efficient, well-tested code with a keen eye on maintainability
  • Experience with cloud based data pipelines optimized for Machine Learning applications, GCP is a plus
  • Proficient with Docker, Kubernetes, and Infrastructure as code (e.g. terraform)
  • Excellent communication and teamwork skills
  • Familiar with workflow management platforms like Airflow or Argo Workflows
  • Familiar with best practices in the data engineering and MLOps community
  • You enjoy working in an agile team, like to get involved, think "out of the box" and are keen to tackle new topics
  • Good English skills complete your profile

 

Technology Stack:

Google Cloud Platform, Terraform, Kubernetes, Docker, BigQuery, Apache Beam, Dataflow, Python, SQL, REST APIs, GraphQ

 

Our benefits for you:

  • A complete package including mobile office, holiday pay and 30 days' holiday per year is waiting for you

  • We protect you - with very good social benefits such as a pension plan, disability and accident insurance, value account and much more

  • Our locations are always centrally located and equipped with the latest technology. Whether you come by bike or by car - a free parking space is waiting for you at our broadcasting centre in Cologne-Deutz

  • Our own team will take care of your regular further training and development opportunities - both professionally and personally

  • You can save money with a variety of employee discounts, including a free RTL+ premium subscription

  • We don't have a dress code - but we still leave the beach outfit at home

  • We're also very good at toasting and celebrating - preferably together at Christmas parties, summer parties, team events or carnivals

 

But that's not all! You can find an overview of all benefits here

 

Are you interested?  

Then send us your complete application documents (incl. salary expectations and earliest possible starting date) via online application by clicking on the button "Apply". You can find more information here: rtl.com/jobs. If you would like to receive further news about RTL Deutschland, please follow us on InstagramTwitterLinkedIn or XING.

 

I look forward to receiving your application! 
Yours, Jessica

 

 

 

 


 

Unternehmen: RTL Deutschland GmbH 

Land: Deutschland

Region: Nordrhein-Westfalen

Stadt: Köln

Postleitzahl: 50679

Job ID: 168669

Datum:  15.11.2021
Standort: 

Köln, NW, DE, 50679


Jobsegment: Training, Social Media, Engineer, Computer Science, TV, Education, Engineering, Marketing, Technology, Creative

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