Machine Learning Engineer | Otto Group data.works (w/m/d)
Alle Mitarbeiterinnen und Mitarbeiter in jeder der 123 Einzelgesellschaften der Otto Group tragen täglich mit innovativen Ideen dazu bei, uns unserem gemeinsamen Ziel näher zu bringen: in allen Bereichen Best in Class zu werden.
You like to push state-of-the-art technologies to their limits and thus shape the future of the Otto Group? Welcome to the Otto Group data.works!
The data scientists and engineers of the Otto Group data.works have access to a huge treasure trove of data from billions of clickstream events and backend data from over 100 Otto Group online shops. Based on this, our product teams develop various data and machine learning solutions: With our help, customers are shown relevant products, their product searches are answered with best results, a chatbot answers questions, e.g., about delivery information, and thanks to text analysis, customers quickly find the most important aspects in product reviews. Together with our data engineers and data scientists, develop the best AI-based services for the future of the Otto Group!
Unser Tech Stack:
Google Cloud Platform: BigQuery | GKE | Dataflow | AI Platform | Stackdriver | Data Studio
You will develop and be responsible for state-of-the-art machine learning models
Together with your colleagues, you will design and develop new, highly performant machine learning services and bring them into production
You will be responsible for data reviews, data analysis, and software engineering for our machine learning services.
Together with our data engineers and data scientists, you will work in a team to develop and continuously improve our solutions.
Do you have any open questions? - We are happy to connect you with Christian Rammig from the department. Would you like to experience your future team and your workspace? - As part of your application process, you will have the opportunity to do so later.
Was Du mitbringen solltest:
Advanced Python skills (Numpy, Scipy, Pandas)
Python skills (Numpy, Scipy, Pandas)
Deep experience with software engineering and testing
Basic knowledge in the area of Machine Learning and Experience with relevant frameworks (scikit-learn, Tensorflow, Pytorch, …)
First experience with (automated) deployment and monitoring of ML models (Creation of batch/live services, Docker/Kubernetes, Workflow engines like Argo or Airflow)
Good German and English speaking and writing skills
CI/CD and ML Ops are not only buzzwords to you
Experience with developing scalable cloud solutions based on GCP or AWS
Knowledge about automated creation of cloud infrastructures e.g., using Terraform
You have an excellent university degree (master’s degree, Ph.D.) in a relevant field (computer science, physics, mathematics)
Was wir dir bieten:
Join us at (international) conferences such as Code Talks, GOTO Berlin, JAX, DEVOXX, internal events, hackathons, tech talks and meetups such as develop<HER>
An appreciative working environment, expert know-how and numerous opportunities for your professional and personal development
Flexible working hours, working time recordings as well as the possibilities for mobile working and flexitime - you design your working dayMeet your colleagues in our social
spaces, focus yourself in our libraries or work outside in the sun - Wi-Fi throughout the campus and New Work make it possible
Become part of our culture and discover new things every day, because we offer even more!
Deine aussagekräftige Bewerbung mit Bezug auf die Nummer
richte bitte an:
Otto (GmbH & Co KG) OP-SE-RC-R Jana Westerhoff Werner-Otto-Straße 1-7 22179 Hamburg